Dr. Elizabeth Villar, formerly advised by BMERC faculty members Prof. Sandor Vajda and Prof. Adrian Whitty, will be leading an elevator pitch workshop and discussing effective ways to talk about science. This workshop is part of the event series hosted by BU-BEST, a program with the initiative to enhance biomedical career development curricula for Ph.Ds and […]
Our first BMERC-sponsored Machine Learning Journal Club was a blast! 20+ students and researchers from across different disciplines and departments such as Biomedical Engineering and Chemistry attended the event. This journal club was led by Israel and Megan from Prof. Sandor Vajda’s group. We learned about basic concepts of supervised learning, followed by a hands-on […]
Pirooz Vakili, Ioannis Paschalidis, Dima Kozakov, and Sandor Vajda Supported by: NIH R01 GM135930 “Optimization and Learning Strategies for Protein Docking” (PI: Pirooz Vakili) NIH R35 GM118078 “Analysis and Prediction of Molecular Interactions” (PI: Sandor Vajda) NSF DBI 1759472 “Collaborative Research: ABI Development: The next stage in protein‐protein docking” (PI: Sandor Vajda) NIH R21 GM127952 […]
Sandor Vajda, Dima Kozakov, Ioannis Paschalidis, and Pirooz Vakili Supported by: NIH R35 GM118078 “Analysis and Prediction of Molecular Interactions” (PI: Sandor Vajda) NSF DBI 1458509 “ABI Development: Utilization of diverse data in exploring protein‐protein interactions” (PI: Sandor Vajda) NSF DBI 1759472 “Collaborative Research: ABI Development: The next stage in protein‐protein docking” (PI: Sandor Vajda) […]
Mark Kon, Julio Castrillon, Dmitri Beglov, and Sandor Vajda Supported by: NIH R01GM131409 “Stochastic Dynamic Modeling of Cellular Protein Interactions” (PI: Mark Kon) NIH R35 GM118078 “Analysis and Prediction of Molecular Interactions” (PI: Sandor Vajda) Stochastic methods for modeling molecular-protein interactions form an entirely new set of ap-proaches to the important biological goal of simulating […]
Sandor Vajda, Andrew Emili, and Daniel Segre Supported by: Supplement to NIH R35 GM118078 “Analysis and Prediction of Molecular Interactions” (PI: Sandor Vajda) for the purchase of a Mass Spectrometer. The Emili lab performs mass spectrometry pull-down experiments to provide information on small molecules that bind specific cellular proteins. The data provided by such experiments, […]
Dmitri Beglov, Sandor Vajda, and Dima Kozakov Supported by: NIH R43 GM134769 Software For Antibody Epitope Prediction (PI: Dmitri Beglov) Accurate epitope prediction is important for the development of antibody-based therapies. When multiple new antibodies are discovered against the whole antigen, their epitopes and, therefore, potential novelty and mechanism of action are usually unknown. Site-directed […]
When: Thursday, June 22, 12 pm Where: ENG room 203, 44 Cummington Street Title: Exploiting secondary binding pockets in aminergic GPCRs Speaker: Dr. Gyorgy Keseru, Medicinal Chemistry Research Group, Hungarian Academy of Science, Budapest, Hungary Abstract: Fragment based drug discovery (FBDD) employs growing and linking strategies for optimization. Structural information on G-protein coupled […]
This new paper describes our ClusPro web server, a widely used tool for protein-protein docking. ClusPro provides a simple interface for basic use, but it also offers a number of advanced options to modify the search. These include the removal of unstructured protein regions, application of attraction or repulsion, accounting for pairwise distance restraints, construction […]
When: Thursday, December 8, 10:30 am Where: ENG room 203, 44 Cummington Street Title: Promiscuity in regulatory proteins such as PD-1 hinder their druggability Speaker: Prof. Carlos J. Camacho Department of Computational and Systems Biology University of Pittsburgh Abstract: Many regulatory proteins use structural flexibility to bind specifically to multiple partners. Although conformational selection […]