Dina Schneidman-Duhovny (Dina Schneidman)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Convolutional Neural Network

Coronavirus Disease

Capillary Electrophoresis

Top Venues

Journal of chemical information and modeling

Science (New York, N.Y.)

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Meitar Sela, Jonathan Richard Church, Igor Schapiro, Dina Schneidman-Duhovny
RhoMax: Computational Prediction of Rhodopsin Absorption Maxima Using Geometric Deep Learning. Journal of chemical information and modeling (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods (2024)
Gal Passi, Sari Lieberman, Fouad Zahdeh, Omer Murik, Paul Renbaum, Rachel Beeri, Michal Linial, Dalit May, Ephrat Levy-Lahad, Dina Schneidman-Duhovny
Discovering predisposing genes for hereditary breast cancer using deep learning. Briefings in bioinformatics 25 (4) (2024)
Meitar Sela, Jonathan Richard Church, Igor Schapiro, Dina Schneidman-Duhovny
RhoMax: Computational Prediction of Rhodopsin Absorption Maxima Using Geometric Deep Learning. Journal of chemical information and modeling 64 (12) (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods 21 (3) (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods 21 (3) (2024)
Meitar Sela, Jonathan Richard Church, Igor Schapiro, Dina Schneidman-Duhovny
RhoMax: Computational Prediction of Rhodopsin Absorption Maxima Using Geometric Deep Learning. Journal of chemical information and modeling 64 (12) (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods 21 (3) (2024)
Ben Shor, Dina Schneidman-Duhovny
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2. Nature methods 21 (3) (2024)
Meitar Sela, Jonathan Richard Church, Igor Schapiro, Dina Schneidman-Duhovny
RhoMax: Computational Prediction of Rhodopsin Absorption Maxima Using Geometric Deep Learning. Journal of chemical information and modeling 64 (12) (2024)
Gal Passi, Sari Lieberman, Fouad Zahdeh, Omer Murik, Paul Renbaum, Rachel Beeri, Michal Linial, Dalit May, Ephrat Levy-Lahad, Dina Schneidman-Duhovny
Discovering predisposing genes for hereditary breast cancer using deep learning. Briefings in bioinformatics 25 (4) (2024)
Jérôme Tubiana, Dina Schneidman-Duhovny, Haim J Wolfson
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction. Nature methods 19 (6) (2022)
Hannes Braberg, Ignacia Echeverria, Stefan Bohn, Peter Cimermancic, Anthony L Shiver, Richard Alexander, Jiewei Xu, Michael Shales, Raghuvar Dronamraju, Shuangying Jiang, Gajendradhar Dwivedi, Derek Bogdanoff, Kaitlin K Chaung, Ruth Hüttenhain, Shuyi Wang, David Mavor, Riccardo Pellarin, Dina Schneidman-Duhovny, Joel S Bader, Brian K Shoichet, John H Morris, James E Haber, Brian D Strahl, Carol A Gross, Jun-Biao Dai, Jef D Boeke, Andrej Sali, Nevan J Krogan
Genetic interaction mapping informs integrative structure determination of protein complexes. Science (New York, N.Y.) 370 (6522) (2021)
Yufei Xiang, Sham Nambulli, Zhengyun Xiao, Heng Liu, Zhe Sang, W Paul Duprex, Dina Schneidman-Duhovny, Cheng Zhang, Yi Shi
Versatile and multivalent nanobodies efficiently neutralize SARS-CoV-2. Science (New York, N.Y.) 370 (6523) (2020)
Esther S Brielle, Dina Schneidman-Duhovny, Michal Linial
The SARS-CoV-2 Exerts a Distinctive Strategy for Interacting with the ACE2 Human Receptor. Viruses 12 (5) (2020)
Dina Schneidman-Duhovny, Natalia Khuri, Guang Qiang Dong, Michael B Winter, Eric Shifrut, Nir Friedman, Charles S Craik, Kathleen P Pratt, Pedro Paz, Pengfei Li, Andrej Sali
Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition. PloS one 13 (11) (2018)