E-mail: YShen <AT> tamu.edu
Recruiting a Ph.D. student (Spring/Fall 2017; CS/OR/Eng(Algorithms)/Applied Maths background preferred). Please see an older ad here.
Current TAMU students: please feel free to email with CV, transcript, and a brief research statement.
08/2016 Mostafa was selected to receive an NSF Award for Young Professionals Contributing to Smart and Connected Health and invited to give a lightning talk at IEEE EMBC 2016. Congratulations, Mostafa!
04/2016 Selected and invited talk at the 6th CAPRI Evaluation Meeting entitled "Modeling protein conformational changes during protein interactions with cNMA – encounter complex-based Normal Mode Analysis".
01/2016 CALL FOR PAPERS: First International Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM2016; in conjunction with IJCAI) and EURASIP Journal on Bioinformatics and System Biology: Special Issue on Biomedical Informatics with Optimization and Machine Learning. Update(10/2016): The special issue is now released and being updated.
06/2015 "cNMA: A Framework of Encounter Complex-based Normal Mode Analysis to Model Conformational Changes in Protein Interactions" published on Bioinformatics.
01/2015 Assistant professor at TAMU.
11/2013 "ESR1 Ligand-binding Domain Mutations in Hormone-resistant Breast Cancer" published on Nature Genetics. (Highlighted in Nature Reviews Clinical Oncology and Nature Reviews Cancer.)
10/2013 Dr. Tomasz Oliwa joins as a postdoctoral scholar. Welcome, Tomasz!
10/2013 "Improved Flexible Refinement of Protein Docking in CAPRI Rounds 22–27" published on PROTEINS.
09/2013 "Testing the Substrate-Envelope Hypothesis with Designed Pairs of Compounds" published on ACS Chemical Biology.
04/2013 Selected talk at the 5th CAPRI Evaluation Meeting, entitled "Improved flexible refinement of protein docking in CAPRI rounds 22–27".
04/2013 Invited talk at the 245th ACS, entitled "Designing and unraveling promiscuous inhibitors against drug-resistant target mutations".
04/2013 "Overcoming Mutation-Based Resistance to Antiandrogens with Rational Drug Design" published on eLife. (Editor's Choice, eLife Insight)
02/2013 Awarded 2M CPU hours in total (2012-13) at Argonne Leadership Computing Facility.
11/2012 "Charge Optimization Theory for Induced-Fit Ligands" published on JCTC.
06/2012 Visiting assistant professor at MIT.
Best performance in CAPRI Round 26 (1st out of 42 worldwide teams).
01/2012 Started the appointment of research assistant professor at TTI-C.
07/2011 Produced one fair and two medium predictions
for three protein–protein targets and ranked No. 2 among 37 worldwide
teams in CAPRI Round 23.
03/2011 Oral presentation at the 241st
American Chemical Society (ACS) National Meeting.
Yang Shen is an assistant professor in the Department of Electrical and Computer Engineering at Texas A&M University. He is also affiliated with the TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering.
He received his B.E. in Automatic Control from the University of Science and Technology of China in 2002 and his Ph.D. in Systems Engineering from Boston University in 2008. In 2008–2011 he had been a postdoctoral associate with Bruce Tidor in the Department of Biological Engineering and the Computer Science & Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology where he remains a research affiliate. In 2012–2014 he had been a research assistant professor at Toyota Technological Institute at Chicago, a philanthropically endowed academic computer science institute with a close affiliation with the University of Chicago.
His research interests are in modeling, simulating, and engineering of biomolecules and biomolecular networks, with the goal of probing molecular mechanisms and modulating emergent behavior. Specific topics include protein docking, protein engineering, drug design, systems and synthetic biology, and bioinformatics. Central to these ends are the development and application of computational methods in molecular modeling, network simulation, optimization, machine learning, graph theory, and system and control theory.