I was born in Yerevan, Armenia, and I am currently working as a Lead of Scientific Development at Deep Origin developing next generation of computational methods and applying them to create novel medicine.
Education:
Ph.D., Chemistry, University of Maryland, College Park, USA, 2013
M.S., Chemistry, University of North Carolina at Chapel Hill, USA, 2010
B.A., Physics, Yerevan State University, Armenia, 2007
Physics & Mathematics School, Yerevan State University, Armenia, 2003
Recent work Experience
Lead of Scientific Development, Deep Origin, 2023 - present
Senior Scientist, Atomwise 2019-2023
Academic Experience:
Postdoctoral Research Associate, Rice University, USA, 2017 - 2020
Postdoctoral Research Scholar, University of Chicago, USA, 2013 - 2017
Summer Research Fellow, University of Maryland, USA, Summer 2013
Visiting Scholar, The Scripps Research Institute, CA, USA, Summer 2007
"AI is a viable alternative to high throughput screening: a 318-target study." Scientific reports 14, no. 1 (2024): 7526.
"Artificial intelligence-powered discovery of small molecules inhibiting CTLA-4 in cancer." BJC reports 2, no. 1 (2024): 4.
"AI-powered discovery of a novel p53-Y220C reactivator." Frontiers in Oncology 13 (2023): 1229696.
"Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitors." Frontiers in molecular biosciences 10 (2023): 1171143.
"Frustrated peptide chains at the fibril tip control the kinetics of growth of amyloid-β fibrils." Proceedings of the National Academy of Sciences 118, no. 38 (2021): e2110995118.
"CTLA-4 in regulatory T cells for cancer immunotherapy." Cancers 13, no. 6 (2021): 1440.
"Mesoscopic protein-rich clusters host the nucleation of mutant p53 amyloid fibrils." Proceedings of the National Academy of Sciences 118, no. 10 (2021): e2015618118.
"OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations." PLoS computational biology 17, no. 2 (2021): e1008308.
"AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes." Nucleic acids research 48, no. W1 (2020): W25-W30.
"Braiding topology and the energy landscape of chromosome organization proteins." Proceedings of the National Academy of Sciences 117, no. 3 (2020): 1468-1477.
"Unusual organization of I-BAR proteins on tubular and vesicular membranes." Biophysical journal 117, no. 3 (2019): 553-562.
"Theoretical insights into mechanisms of channel-facilitated molecular transport in the presence of stochastic gating." The Journal of chemical physics 150, no. 12 (2019).
"Insights into the cooperative nature of ATP hydrolysis in actin filaments." Biophysical journal 115, no. 8 (2018): 1589-1602.
"The mesoscopic membrane with proteins (MesM-P) model." The Journal of Chemical Physics 147, no. 4 (2017).
"Dynamic force matching: Construction of dynamic coarse-grained models with realistic short time dynamics and accurate long time dynamics." The Journal of Chemical Physics 145, no. 22 (2016).
"Multiscale simulations of protein-facilitated membrane remodeling." Journal of structural biology 196, no. 1 (2016): 57-63.
"Stochastic resonance in protein folding dynamics." ChemPhysChem 17, no. 9 (2016): 1305-1313.
"Environmental fluctuations and stochastic resonance in protein folding." ChemPhysChem 17, no. 9 (2016): 1341-1348.
"Dynamic force matching: A method for constructing dynamical coarse-grained models with realistic time dependence." The Journal of Chemical Physics 142, no. 15 (2015).
"The theory of ultra-coarse-graining. 2. Numerical implementation." Journal of chemical theory and computation 10, no. 12 (2014): 5265-5275.
"Predictive energy landscapes for protein–protein association." Proceedings of the National Academy of Sciences 109, no. 47 (2012): 19244-19249.
"AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasing." The Journal of Physical Chemistry B 116, no. 29 (2012): 8494-8503.
Personal email: davtyan.aram@gmail.com
Work email: aram.davtyan@deeporigin.com
LinkedIn: www.linkedin.com/in/aram-davtyan