John Ingraham

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Debora MarksSystems Biology, Harvard Medical School, Broad Institute of Harvard and MITAdresse e-mail validée de hms.harvard.edu
Chris SanderHarvard Medical School, Broad Institute, MGH, Dana-Farber Cancer Institute, Memorial Sloan KetteringAdresse e-mail validée de sanderlab.org
Adam RiesselmanHippo HarvestAdresse e-mail validée de hippoharvest.com
Thomas A. HopfScientific ConsultantAdresse e-mail validée de thomashopf.com
Michael Springerharvard medical schoolAdresse e-mail validée de hms.harvard.edu
Charlotta ScharfePrincipal Data Scientist, F. Hoffmann-La Roche, SwitzerlandAdresse e-mail validée de roche.com
Frank PoelwijkGenerate Biomedicines LLCAdresse e-mail validée de generatebiomedicines.com
Agnes Toth-PetroczyMPI of Molecular Cell Biology and Genetics and Center for Systems Biology DresdenAdresse e-mail validée de mpi-cbg.de
Perry PalmedoHarvard UniversityAdresse e-mail validée de fas.harvard.edu
Vikas GargMassachusetts Institute of Technology (MIT)Adresse e-mail validée de mit.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Regina BarzilayProfessor of EECS, MITAdresse e-mail validée de csail.mit.edu
Dieter ArmbrusterProfessor of Mathematics, Arizona State UniversityAdresse e-mail validée de asu.edu
Benjamin SchubertGroup Leader, ICB@Helmholtz Center MunichAdresse e-mail validée de helmholtz-muenchen.de
Anna G. GreenAssistant Professor, Manning College of Information and Computer Sciences, UMass, AmherstAdresse e-mail validée de umass.edu
Christian DallagoNVIDIA & Technische Universität MünchenAdresse e-mail validée de tum.de
Kelly Paige BrockNortheastern University, Institute for Experiential AIAdresse e-mail validée de northeastern.edu
Jue WangUniversity of WashingtonAdresse e-mail validée de uw.edu
Renan Escalante-ChongLoxo Oncology at Lilly

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John Ingraham

Generate Biomedicines, Inc

Adresse e-mail validée de csail.mit.edu - Page d'accueil

Machine Learning Computational Biology Protein Design


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Mutation effects predicted from sequence co-variation TA Hopf, JB Ingraham, FJ Poelwijk, CPI Schärfe, M Springer, C Sander, ... Nature Biotechnology 35 (2), 128-135, 2017	724	2017
Deep generative models of genetic variation capture the effects of mutations AJ Riesselman, JB Ingraham, DS Marks Nature Methods 15, 816-822, 2018	662	2018
Generative Models for Graph-Based Protein Design J Ingraham, VK Garg, R Barzilay, T Jaakkola Neural Information Processing Systems, 2019	580	2019
Illuminating protein space with a programmable generative model JB Ingraham, M Baranov, Z Costello, KW Barber, W Wang, A Ismail, ... Nature 623 (7989), 1070-1078, 2023	347	2023
Defining variant-resistant epitopes targeted by SARS-CoV-2 antibodies: A global consortium study KM Hastie, H Li, D Bedinger, SL Schendel, SM Dennison, K Li, ... Science 374 (6566), 472-478, 2021	308	2021
Basketball teams as strategic networks JH Fewell, D Armbruster, J Ingraham, A Petersen, JS Waters PloS one 7 (11), e47445, 2012	268	2012
The EVcouplings Python framework for coevolutionary sequence analysis TA Hopf, AG Green, B Schubert, S Mersmann, CPI Schärfe, JB Ingraham, ... Bioinformatics 35 (9), 1582-1584, 2019	248	2019
3D RNA and Functional Interactions from Evolutionary Couplings C Weinreb, AJ Riesselman, JB Ingraham, T Gross, C Sander, DS Marks Cell 165 (4), 963-975, 2016	198	2016
Learning Protein Structure with a Differentiable Simulator J Ingraham, A Riesselman, C Sander, D Marks International Conference on Learning Representations, 2019	172	2019
Structured States of Disordered Proteins from Genomic Sequences A Toth-Petroczy, P Palmedo, J Ingraham, TA Hopf, B Berger, C Sander, ... Cell 167 (1), 158-170. e12, 2016	152	2016
Galactose metabolic genes in yeast respond to a ratio of galactose and glucose R Escalante-Chong, Y Savir, SM Carroll, JB Ingraham, J Wang, CJ Marx, ... Proceedings of the National Academy of Sciences 112 (5), 1636-1641, 2015	145	2015
Cellbox: Interpretable machine learning for perturbation biology with application to the design of cancer combination therapy B Yuan, C Shen, A Luna, A Korkut, DS Marks, J Ingraham, C Sander Cell systems 12 (2), 128-140. e4, 2021	125	2021
Generating transition states of isomerization reactions with deep learning L Pattanaik, JB Ingraham, CA Grambow, WH Green Physical Chemistry Chemical Physics 22 (41), 23618-23626, 2020	61	2020
Variational Inference for Sparse and Undirected Models J Ingraham, D Marks International Conference on Machine Learning, 2017	46*	2017
Simultaneous enhancement of multiple functional properties using evolution-informed protein design B Fram, Y Su, I Truebridge, AJ Riesselman, JB Ingraham, A Passera, ... Nature Communications 15 (1), 5141, 2024	10	2024
Antigen Binding Molecules Targeting SARS-CoV-2 G Grigoryan, J Ingraham, CL Leung, RS Federman, RJ Green, V Xue, ... US Patent App. 18/151,088, 2023	3	2023
Antigen binding molecules targeting SARS-CoV-2 G Grigoryan, J Ingraham US Patent 11,987,616, 2024	2	2024
Probabilistic Models of Structure in Biological Sequences JB Ingraham PQDT-Global, 2018	2	2018
Antigen binding molecules targeting SARS-CoV-2 G Grigoryan, J Ingraham, CL Leung, RS Federman, RJ Green, AH Ramos, ... US Patent 11,981,725, 2024		2024
Antigen binding molecules targeting sars-cov-2 G GRIGORYAN, J Ingraham, CL Leung, RS FEDERMAN, RJ GREEN, ...		2022

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