Current WRF Fellows
Below you will find the list of our current WRF Fellows as well as a little information about them and their work.
HUA BAI, PhD – Collaborating PI: David Galas, Pacific Northwest Diabetes Research Institute
To restore auto-antigen tolerance in autoimmune disease models, especially in Type 1 Diabetes model, Hua will work under the guidance of Dr. David Galas at the Pacific Northwest Diabetes Research Institute and Dr. David Baker at the Institute for Protein Design to design and validate therapeutic peptides (or small proteins) that can interfere with the auto-antigen*MHC*T-cells complex, and hence inhibit the activation of pathogenic T-cells. On the other hand, by exploiting self-assembling nanoparticles design methods, Hua will design tolerogenic MHC*peptide complexes which can promote the proliferation of regulatory T cells and then induce auto-antigen tolerance. This project can potentially create novel tolerogenic therapeutics, and it can lead to a better understanding of immune tolerance mechanisms as well.
Hua obtained a B.S. degree in Biological Sciences in Peking University, China. Later, he came to the University of Wisconsin-Madison pursuing a Ph.D. degree in physiology. After two years of working on “metabolism” using animal models and five years of studying “membrane trafficking”using various in vitro biochemistry and biophysics techniques, Hua’s career objective to be an outstanding protein engineer is getting clearer and more determined. Hua will be dedicated to addressing the metabolic syndrome and related disorders by utilizing the powerful protein design and engineering methods.
RALPH CACHO, PhD – Collaborating PI: Michael Gelb, Department of Chemistry
The anticancer agents salinosporamide A and rebeccamycin, the antifungal griseofulvin and the antibiotic vancomycin all contain carbon-halogen bonds. The presence of the halogen atom in these compounds is
vital to the activity of the respective molecules. A lack of specificity and regioselectivity (a process that favors bond formation at a particular atom) has hampered classical synthetic chemistry methods for carbon-halogen bond formation. But enzymes evolved a variety of elegant mechanisms to catalyze this synthetically challenging reaction. Hence novel methods for the introduction of carbon-halogen bonds in advanced synthetic or biosynthetic intermediate with complex molecular scaffolds can be developed by engineering these halogenating enzymes.
My project aims to apply computational protein design to redesign a chlorinase enzyme with a modified substrate scope. To demonstrate the potential of computational protein design to efficiently change the substrate scope of the enzyme, I will design the chlorinase to catalyze the conversion of dechlorogriseofulvin to griseofulvin. Griseofulvin is an antifungal compound used in the treatment of skin and scalp infections caused by dermatophytes like tinea capitis and tinea pedis. While previous engineering approaches have been performed on chlorinase enzymes, previous examples use indole-containing substrates (such as tryptamine) or aryl rings with nitrogen substituents (such anthranilic acid or kyneurine). While these examples highlight the plasticity of the substrate scopes of this class of enzymes, they also highlight the deficiencies of the current approaches used to modify the specificity of flavin-dependent chlorinases. My project aims to supplement these current methods with computational design by targeting a reaction involved in the synthesis of a medically relevant compound.
ALEXIS COURBET, PhD, PharmD – Collaborating PIs: Joshua Smith and Luis Ceze, Computer Science and Engineering
Computers have revolutionized our understanding and relation to the world. Automating the manipulation of information, they transfer human labor to machines and augment human capabilities. While science and engineering have placed increasing demands on computation, miniaturization of silicon-based electronics has been the main driving force behind its enhancement. However, physical limits of CMOS technology are announcing the end of Moore’s law. Further advancing computers to achieve ever-higher densities of useful computational work under specified quantity of time, material, space, energy and cost, remains a critical challenge in the 21st century. Novel approaches relying on biological substrate (i.e. biocomputing) have the potential to outperform conventional silicon. Indeed, living systems are incredibly efficient three dimensional computers capable of solving hard computational problems. Synthetic biologists are thus considering the possibility of engineering computing systems where input, output, software, and hardware are made of biological molecular-scale machinery to store and perform operation on data. This approach holds promising advantages: high density of data storage, massive parallelization and ultra-low power signal processing. Biocomputers are biosynthesized and self-assembling, ensuring a low cost and high scale of production. By nature biocompatible, they could support the monitoring, control and electronic interfacing of biological systems. Therefore, the engineering of biological computing machines could pave the way towards unprecedented scientific opportunities, offering powerful solutions for computer sciences, biotechnology and molecular medicine. Yet, developing functional biocomputers with a scalable architecture remains elusive since tools are lacking to perform precise assembly of biomolecular components at nanoscales.
In this project, we identified proteins as versatile and modular components constituting a vast engineering playground. Proteins self-assemble in a sequence dependent way and are capable of information processing, which we intend to exploit for the rational design of complex three dimensional biocomputers. Although proteins rely on complex folding, allosteric mechanism and interfaces of noncovalent interactions, recent advances in the development of Rosetta software allowed computational design of protein nanomaterials with unprecedented accuracy and design space. De novo protein components can now be generated in silico to self-assemble into specified symmetric scaffolds, which we suggest could support high-order biocomputing architectures. This project thus proposes to harness advances in computational protein design as a systematic methodology to engineer universal nanoscale biocomputers. We propose to investigate how massively parallel computing architectures can be built using self-assembling 3D arrays of protein logic gates, ultimately implementing any given Boolean function. There are two engineering challenges to realizing such systems: first, methods for designing protein nanomachines need to be developed; and second, because of non-conventional substrate, mechanism of information processing, programmability of the computer and interfacing will need to be overcome. The proposed research intends to i) investigate machine architectures and programmability in silico ii) explore design rules, experimental and computational methods for designing 3D self-assembling protein logic gate arrays iii) develop methods for designing digital protein information carriers (i.e. switches). Such computers designed with 10 nm nodes could theoretically accommodate 1015 layered logic gates within a single microliter, while achieving energy requirements orders of magnitude below those of silicon computers.
TIMOTHY CRAVEN, PhD – Collaborating PI: Jay Shendure, UW Genome Sciences
As a WRF fellow Tim will be working with Jay Shendure (UW Genomics) and David Baker (UW Biochemistry and IPD) to engineer new methods to design synthesize repeat protein architectures and materials of biomedical interest.
Timothy started his scientific career with an emphasis on physical chemistry and obtained a B.Sc. form the College of New Jersey double majoring in Physics and Chemistry. After research stints at the National Aeronautics and Space Administration and the National Institutes of Standards and Technology Tim decided to switch scientific fields and pursue a M.Sc. in Bioinformatics at Georgetown University. After graduating Georgetown and a short research stint at the Food and Drug Administration Tim moved to New York University and completed a PhD in Biology with an emphasis on computational design and synthesis of biomimetic molecular architectures co-advised between the labs of Richard Bonneau (NYU Biology) and Kent Kirshenabum (NYU Chemistry).
GLENNA FOIGHT, PhD – Collaborating PI: Dustin Maly, UW Chemistry
Cellular signaling pathways are complex networks of protein and enzymatic interactions. Understanding their contributions to disease states is an important goal. The development of protein inhibitors through computational design and directed evolution is a powerful approach for specifically targeting individual elements of signaling pathways. Small-molecule inhibitors offer temporal control and cell permeability, but the development of small molecules that specifically target only one protein in the cell is a difficult and lengthy process. The Maly lab has combined the power of protein and small-molecule inhibitors in a system known as a chemical genetic switch. This involves the fusion of two components of a proteinprotein interaction to a protein of interest such that a small molecule that disrupts the interaction will allow activation of the protein. The first part of my research will involve creating a new chemical genetic switch system by designing a protein interaction partner for an existing protein and small-molecule inhibitor. The new system will use components that are foreign to mammalian cells, thus offering compatibility with future studies of mammalian signaling pathways. My second project will focus on developing inhibitors of the oncogenic protein Ras. Ras is an important signaling protein in numerous cellular processes, and the Ras family is the most frequently mutated protein family in human cancers. I will design protein inhibitors that specifically target individual oncogenic mutants and family members of Ras. These inhibitors will aid in dissecting the complex functional differences between different mutants and variants of Ras. Furthermore, I will use the successfully engineered chemical genetic switch developed in my first project to confer small-moleculebased, temporal control over these Ras inhibitors in cells. I did my undergraduate degree in biochemistry at North Carolina State University where I performed Xray crystallography research, coincidentally, on structures of oncogenic Ras mutants in the lab of Dr. Carla Mattos. My interest in protein structure led me to the lab of Dr. Amy E. Keating at MIT, where I studied the determinants of protein-protein interaction specificity in my graduate work. My interest in studying signaling processes controlled by protein-protein interactions led me to the lab of Dr. Dustin Maly at the UW. Designing specific protein interactions and using my designs to disrupt cellular interaction networks will be an exciting combination of my expertise and interests.
HANNAH GELMAN, PhD – Collaborating PI: Doug Fowler, Department of Genome Sciences
Guiding protein design with comprehensive maps of mutant function
Computational protein design — in which new protein sequences are developed to perform a specific function — promises efficient generation of biological molecules that can carry out novel functions. Designed proteins could be ideal for the treatment of rare or emerging diseases and potentially mitigate the side effects of more broadly acting classes of drugs. This method is hampered by the difficulty of predicting the effect of mutations on protein function, especially if the mutation affects protein stability or structure, and by our incomplete understanding of how protein physical properties like thermodynamic stability affect protein function.
The efficiency of a designed protein can be significantly enhanced with deep mutational scanning (DMS), in which a library of mutants based on the designed sequence is expressed and subjected to weak functional selection (e.g., binding to the targeted ligand). The change in the distribution of sequences over the selection — enrichment of some sequences and depletion of others — is measured and used to determine the relative function of every sequence. This strategy refines the sequence found by computational design to find a better performing variant, but does not address the underlying mismatch between the performance predicted by the design algorithm and that measured in the real world. Integration of DMS and computational design can be pushed even further so that data from DMS is used to improve design algorithms at the outset instead of to refine the algorithm’s output.
Incorporating the large-scale DMS data into the development of protein design algorithms will require us to quantitatively and accurately measure specific biophysical and biochemical properties rather than rely on the more easily obtained relative measurements of mutant function that are currently used. A limited number of assays have been developed to measure these properties in a high throughput manner, but each is highly targeted to a specific protein target. We will expand and combine them in a unified platform that can reproducibly characterize libraries of protein mutants across many of the properties that may be correlated to overall function. For each mutant we will analyze how the measured physical properties correlate with each other and with mutant function. We can then compare these measurements to the predictions of the design algorithm and use the quantitative data obtained to improve the algorithm’s ability to accurately predict physical properties and how these properties affect protein function.
Our method can guide the implementation of additional design constraints that better represent the key
contributions to a protein’s ability to function. A more complete and accurate design algorithm will streamline the design process as it will reduce the need for multiple rounds of computational design and functional screening. In addition, more accurate design algorithms will open the door for more ambitious targets for protein design — for example, the design of novel functions or modes of action — that are currently out of reach.
LUKE HELGESON, PhD – Collaborating PI: Trisha Davis, UW Biochemistry
The kinetochore is a ~100 protein molecular machine that connects microtubule ends to chromosomes and harnesses the power of depolymerizing microtubules to segregate chromosomes during cell division. Kinetochores must maintain their connection to chromosomes and microtubule ends while under high tension for a weakening of these connections can halt cell division or promote incorrect chromosome segregation. The kinetochore components that bind microtubules are mostly determined but it is unclear how multiple copies and the structural arrangement of these components can strengthen kinetochore microtubule attachments. Testing the microtubule end attachment strength of kinetochore components at specific binding geometries and stoichiometries will help determine how these attachments bear the forces necessary to regulate and perform chromosome segregation.
As a WRF fellow, Luke will carry out a research plan to test the microtubule end attachment strength of designed kinetochore protein particles. Luke will work with Dr. David Baker (UW Biochemistry and IPD) and Dr. Trisha Davis (UW Biochemistry) to design different protein domains with oligomeric states that are spatially and numerically controlled. These designed protein domains will be attached to kinetochore proteins and purified to yield single particles of kinetochore components at known stoichiometries and geometries. The microtubule end attachment strength of the engineered particles will be tested using optical tweezers microscopy through collaboration with Dr. Charles Asbury (UW Physiology and Biophysics). By using protein design, Luke will be able to directly test how the structure of kinetochore components bound to microtubule ends can modulate the force bearing capabilities of the kinetochore.
Luke graduated with a Bachelor of Science in biochemistry from Iowa State University; where he helped to solve the structure of an Ebola virus protein in the laboratory of Dr. Gaya Amarasinghe. For his graduate work, Luke studied under Dr. Brad Nolen at the University of Oregon. In the Nolen lab, Luke developed single-molecule microscopy experiments to understand how branched actin networks are nucleated and architecturally regulated. For his postdoctoral training, Luke joined the laboratory of Dr. Trisha Davis at the University of Washington where he plans to further his knowledge of cytoskeleton biology and single-molecule microscopy.
KARLA HERPOLDT, PhD – Collaborating PI: Patrick Stayton, Bioengineering
Protein-based nanoparticles have been designed and used for a variety of drug-delivery systems. These drug carriers are based on naturally self-assembled protein subunits which form a cage that can be used to trap pharmaceutical compounds. The use of naturally derived proteins offers benefits in terms of their biocompatibility, biodegradability, low toxicity and relative abundance. Despite these advantages, they remain limited in their use, being repurposed from their original biological application. In contrast, the computational design of protein nanomaterials has created the ability to design self-assembling cages which incorporate additional synthetic functionalities into their structure.
Working with the Baker/King labs Karla is working on using computational design to develop ‘smart’ protein cages that exhibit a strong response to environmental pH. In collaboration with the Stayton group these materials can then be loaded with polymer-prodrug carriers. It is hypothesized that the polymer therapeutics can be loaded via pH-dependent assembly of the cages, and subsequently their higher molecular weight will lead to intra-cage retention. In this way she hopes to develop targeted drug delivery vehicles which release their cargo inside the tumor microenvironment, minimizing chemotherapy dosage levels.
Karla obtained her MPhys in physics from the University of Oxford where she studied laser-plasma interactions and space dust formation before discovering a love of biological physics. She then carried out her PhD research in the lab of Prof. Molly Stevens at Imperial College London where her main focus was on the study of phage-derived peptides for use in diagnostics and therapeutics for HIV. She is also interested in peptide-protein interactions and the rational design of protein ligands. During her PhD Karla held a sabbatical fellowship at the UK Parliament’s Office of Science and Technology and was heavily involved with educational outreach.
PARISA HOSSEINZADEH, PhD – Collaborating PI: Michael Gelb, Chemistry
As a WRF fellow, my goal is to develop new computational tools to design cyclic peptides and to use these peptides as specific inhibitors/binders to target enzymes/proteins. Cyclic peptide binders have the advantages of both proteins and small molecules: they can offer specificity through providing more contacts and they are small and usually more stable. Design of cyclic peptides is an exciting new addition to the field of protein design.
In particular, I am working with Dr. David Baker and Dr. Michael Gelb to design new cyclic peptide binders for specific inhibition and study of different members of secreted phospholipase A family of enzymes. These enzymes are known to be important in inflammatory disease states including asthma; however their exact roles remain elusive. While there are small molecule inhibitors for some members of these enzymes, similarly specific small-molecule based inhibitors have not been identified for all members of this family of enzymes hampering their study. This project is aimed to use the designed cyclic peptide to address this issue and provide better understanding of secreted phospholipases.
I was trained as a molecular biologist in my undergrad. My interest in proteins led me to do my graduate research on rational design of metalloproteins in the lab of Dr. Yi Lu. I was mainly focused on altering second shell interactions to tune the activity of proteins. My research provided a general guideline for tuning the redox potential of metal centers.
NIHAL KORKMAZ, PhD – Collaborating PI: Dirk Keene, UW Medicine
Alzheimer’s disease (AD) is a major public health threat, currently afflicting 5.3 million Americans, at an estimated cost of $226 billion per year. This threat is made more urgent by an aging population; the risk of Alzheimer’s disease increases exponentially in those over the age of 65. While basic research has made great strides in understanding the underlying biology, there are no approved treatments to reverse or halt its progression. Like many neurodegenerative disorders, AD involves the accumulation of abnormally folded proteins. The extracellular fibrillar plaques, which are formed by aggregation of misfolded Aβ peptides, are the hallmarks of the disease along with neurofibrillary tangles formed by tau protein. Aβ peptides are 39–43 residue-long peptides derived proteolytically from the transmembrane amyloid precursor protein (APP), generated by β- and γ-secretases. At high (μM) concentrations, the Aβ peptides undergo a large conformational change and aggregate to form toxic oligomers and fibrillar plaques.
Nihal will be working under the guidance of Dr. David Baker and Dr. Dirk Keene to design small, easily produced binding proteins that can sequester the Aβ polypeptide in a monomeric, aggregation-incompetent form. We also aim to design small cyclic peptides which can cap Aβ fibrils and control fibrillar growth.
Nihal received her bachelor’s degree in chemical engineering at Bogazici University in Istanbul, Turkey. After receiving her master’s degree, Nihal’s fascination in biological systems and proteins led her to pursue a graduate degree in biophysics in the lab of Dr. Qiang Cui at the University of Wisconsin—Madison. During her graduate studies, she focused on conformational diversity and structural characterization of large proteins through molecular dynamics simulation and homology modeling techniques in the light of small angle X-ray scattering and X-ray crystallography data.
MARC LAJOIE, PhD – Collaborating PI: Nora Disis, UW Medicine/Medical Oncology
As a WRF Innovation Fellow at the Institute for Protein Design, Marc is working with the Baker, King, and Disis labs to develop next generation vaccines for cancer treatment and prevention. Antigen-presenting cells determine how the immune system responds to antigens. To exploit this control point, Marc is developing protein nanorobots capable of delivering immunogens directly to sub-compartments of dendritic cells in order to control how the immunogen is presented to naïve T cells. Cytosolic targeting could specifically activate CD8+ T cells that destroy cancer cells, and endosomal targeting could specifically activate CD4+ Th1 cells that promote a strong, sustained immune response.
After receiving a B.A. in biophysical chemistry from Dartmouth College, Marc then completed his PhD in chemical biology under the mentorship of George Church at Harvard Medical School. During his dissertation research, Marc developed genome engineering technologies to reassign the genetic code. His graduate research has implications for enabling virus resistance, improving biocontainment of recombinant organisms, and expanding the amino acid repertoire for industrial organisms. He received a NDSEG fellowship in 2009 and was named to Forbes 30 under 30 in Science in 2012.
Shiri Levy, PhD. Collaborating PI: Hannele Ruohola-Baker, Biochemistry Department.
Direct reprogramming of the epigenome has tremendous potential to advance applications in disease modeling, drug discovery, and gene and cell therapies. Specifically, histone modifications in promoters and enhancers genes possess distinct features in gain and loss of function. A good example for wide epigenetic repressive marks is in human Embryonic Stem Cells (hESC), as massive gene silencing takes place in early development prior to differentiation. Precise manipulation of histone modification in promoter and / or enhancer areas can therefore lead to cellular reprograming, and encode for lineage specific cell fate.
Together with the Institute of Protein Design (IPD), we apply computational protein design to engineer synthetic, novel proteins that mimic epigenetic modifiers. In order to achieve precise gene target in promoter and /or enhancer areas we incorporate the newly designed proteins with CRISPR-associated null Cas9 nuclease (dCas9). Our goal is to create the ability to reprogram control of gene expression or repression using newly designed epigenetic modifiers while targeting any genomic locus of interest through the simple exchange of the 20-nt targeting sequence of the guide RNA (gRNA). Thus, this technology launches new platform for reprogrammable cell linages as well as introducing control of developmental plasticity of hESC that is largely governed by specific nucleosome architecture.
Shiri received her bachelor’s degree in molecular and cellular biology from the University of Washington in Seattle. After receiving her master’s degree in molecular biology and biochemistry, Shiri focused her graduate studies in exploring the control of gene expression in human mitochondria under the supervision of Prof. Gadi Schuster at the Technion, Israel Institute of Technology. During her PhD studies, Shiri characterized a family of orphan proteins that responsible for digestions of RNA and DNA in both ancient archaea and human mitochondria.
Jooyoung Park, PhD – Collaborating PI: Andrew Oberst, Department of Immunology
A major challenge in cancer therapy is the ability to selectively and efficiently kill cancer cells while leaving normal cells unharmed. To address this challenge, Jooyoung is interested in caged delivery of apoptosis-inducing proteins – such as tumor necrosis factor (TNFα) – as a therapeutic strategy to selectively target tumor cells. The strategy takes advantage of pH differences between normal tissues and the tumor microenvironment to locally release cell death-inducing proteins only within the tumor microenvironment. In collaboration with Dr. Andrew Oberst in the UW Department of Immunology, Jooyoung will test these designs using in vitro and in vivo models of human cancer. The proposed studies will establish better understanding of pH-responsive behavior in computationally designed proteins and provide greater insight into the feasibility of targeted protein delivery, knowledge that promises to yield novel insights into cancer treatment.
Jooyoung developed his interest in protein structure and function as an undergraduate student at DePauw University, a small liberal arts college in Greencastle, Indiana. Working with Drs. Jackie and Dave Roberts, he gained his first exposure to X-ray protein crystallography. He then went on to obtain his Ph.D. in Biochemistry from Washington University in St. Louis – School of Medicine, where he further developed his structural biology interests in Dr. Niraj Tolia’s lab, studying antimicrobial resistance and structure-guided drug development.
ANINDYA ROY, PhD – Collaborating PI: David Rawling, Seattle Children’s/UW Immunology
As a WRF fellow, Anindya will be working with Dr. David Rawlings (Seattle Children’s Hospital) and Dr. David Baker (UW Biochemistry and IPD) to develop APRIL and BAFF specific inhibitors for the development of therapeutics for autoimmune diseases and cancer. Both these ligands have been shown to play critical roles in maintaining humoral immunity and signaling network pertaining to this ligand axis is highly exploited in cancer and autoimmune diseases. Current therapeutic approach relies on utilizing the soluble extracellular domain of the receptor for these ligands to block the signaling network. However, initial clinical trial results show that extracellular receptor decoy might not be a safe therapeutic agent presumably due to the complexity and shared ligand space of this signaling network under normal conditions. This project under the WRF fellowship aims to design orthogonal binding partner for BAFF and APRIL with high affinity and specificity.
Anindya started his scientific career with a special interest in chemical biology and protein biochemistry. He received his MSc from the Indian Institute of Technology (IIT-Kharagpur, India) studying protein-small molecule interactions using biophysical techniques. In 2008, Anindya moved to the US and received his PhD from Arizona State University under the guidance of Dr. Giovanna Ghirlanda where he worked on de novo design of artificial metalloproteins. In this work, he laid the foundation for designing multi-cofactor redox proteins that go beyond naturally existing systems.
DANNY SAHTOE, PhD – Collaborating PI: Andrew Scharenberg, Seattle Children’s Research Institute
Plant pathogens cause significant economic damage since they often inject toxic small molecules and proteins into the cells of agriculturally important plants, such as tomato and bean plants, that can lead to crop loss. One of such pathogens is the bacterium Pseudomonas syringae. In his project*, Danny’s aim will be to introduce novel proteins, that are designed to bind and neutralize a subset of Pseudomonas syringae toxins, into plant cells in order to protect plants from such pathogens. The genetic accessibility of plants and the long standing GMO tradition in plant biotechnology, makes plants suitable candidates for computational protein design approaches. We hope that in the future, our designer proteins will complement the strategies that are currently used to combat plant disease in agriculture.
Danny obtained his PhD in structural biology and biochemistry in Titia Sixma’s lab at the Netherlands Cancer Institute in Amsterdam, the Netherlands. There he worked on elucidating the regulatory mechanisms of a special class of proteases called deubiquitinating enzymes using X-ray crystallography and a variety of biochemical and biophysical techniques.
*Danny Sahtoe is an EMBO long term fellow and was also awarded a WRF innovation fellowship that supports his non-salary research expenses.
FRANZISKA SEEGER, PhD – Collaborating PI: Mohamed Oukka, Seattle Children’s
The ability to therapeutically modulate protein-protein interactions bears enormous potential for the treatment of human diseases. Traditional experimental tools are limited by naturally occurring scaffolds to target proteins central to disease development. Thus, the capability to engineer entirely novel proteins de novo – with a particular structure to fulfill a desired therapeutic function – would be a major advancement in the field of drug development. Franziska is working with David Baker (UW Biochemistry and IPD) and Mohamed Oukka (Seattle Children’s Hospital) to computationally design high-affinity binders to the cytokines IL-23 and IL-17 for the treatment of autoimmune diseases. Autoimmune diseases such as Multiple Sclerosis and Crohn’s Disease have posed a major challenge – elucidating their molecular mechanisms as well as finding effective therapies have been formidable. Current treatments have severe side effects and merely delay disease onset. Small, rationally designed protein therapeutics may have multiple advantages over currently available antibody therapeutics. In this proposal, we aim to design stable and effective IL-17 and IL-23 cytokine binders with minimal immunogenicity and favorable biodistribution to test the role that computationally designed proteins can play as novel therapies.
Franziska has always been fascinated by biochemical pathways and protein-protein interactions and will apply her expertise in protein biochemistry, structural biology, and protein-protein interactions to designing novel interfaces between de novo designed binders and the IL-17 and Il-23 cytokines. In her graduate work with Elsa Garcin at the University of Maryland Baltimore County and John Tainer at Lawrence Berkeley National Lab, Franziska determined the first human heterodimeric wild-type structure of the catalytic domain of soluble Guanylate Cyclase (sGC) – an important drug target for the treatment of cardiovascular diseases. Her work furthered our understanding of sGC heterodimerization and activation and opened new drug discovery routes for targeting the NO–sGC–cGMP pathway in acute heart failure and pulmonary hypertension.
Betsy Speltz, PhD Collaborating PI: Jesse Zalatan, Department of Chemistry
Biological reactions are often organized into macromolecular complexes that can range from the colocalization of enzymes to large multienzyme complexes. These assemblies are frequently coordinated by scaffold proteins, which contain multiple protein-protein interaction domains and bind to multiple enzymes and their protein substrates. Scaffold proteins are ubiquitous in signaling, metabolism and protein homeostasis networks and are required for a wide range of cellular functions. Despite their complexity, all scaffold proteins are presumed to increase the efficiency of biochemical reactions. However, there are no measurements of these effects in natural protein complexes because they are often convoluted with other functions such as feedback regulation, subcellular localization, and allosteric modulation. Moreover, these effects are likely to depend on the structural properties of each scaffold protein. Betsy is developing a minimal model system to quantify the effects of enforced proximity in biochemical reactions. She is using computational protein design to precisely control the structural properties of a synthetic scaffold protein to determine how structure contributes to function in macromolecular enzyme assemblies.
Betsy obtained her PhD from Yale University working under the guidance of Lynne Regan. She used protein design to create biorthogonal protein-peptide interactions for synthetic biology applications. Her combined interests in protein-protein interactions and protein design led her to Jesse Zalatan’s lab and the IPD at UW.
BRIAN WEITZNER, PhD – Collaborating PI: Forrest Michael, UW Chemistry
Naturally occurring enzymes catalyze the dizzying array of chemical reactions required to sustain life. These reactions, however, are a small subset of the myriad we would like to perform, understand, and control. Brian is working with David Baker (UW Biochemistry and IPD) and Forrest Michael (UW Chemistry) to design de novo proteins to catalyze chemical reactions that are not part of biology, specifically the addition of vinyl- or arylboronic acids to aldehydes. To date, only the addition of allylboronic acids to aldehydes and ketones has been demonstrated without using expensive palladium or rhodium catalysts. The requirement of using precious metals to catalyze these reactions introduces immense startup costs when attempting to move a process from the lab to the industrial scale. In addition to the broader goal of expanding our understanding of the processes by which enzymes function, the specific application of growing an organic catalyst relatively inexpensively while maintaining control of the relative and absolute stereochemistry of the products would be transformative for chemical engineering applications.
Brian’s interest in protein structure began when he was 16 years old and was selected to be an HHMI student scientist at Fox Chase Cancer Center in Philadelphia where he worked under Roland Dunbrack. He continued working in the Dunbrack group during winter and summer breaks throughout his undergraduate studies. Brian then went on to study antibody structure and binding at the Johns Hopkins University under Jeffrey Gray. This work introduced Brian to developing new methods in Rosetta, and led to significant improvements to the ability to predict the structure of the elusive CDR H3 loop, which has enhanced antibody structure prediction and antibody–antigen docking methodologies.