Dina Schneidman-Duhovny
Molecular Biology · 2002–2021
A researcher in the Science corpus: 15 papers; trusts 39 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 220 citations into it; #818 of 17,773 by trust here, #2,699 by citations
- Materials Chemistry — 122 citations into it; #1,048 of 11,513 by trust here, #2,981 by citations
- Computational Theory and Mathematics — 58 citations into it; #1,106 of 12,182 by trust here, #623 by citations
- Computational Biology & Bioinformatics — 52 citations into it
- Computational Chemistry & Drug Discovery — 38 citations into it; #390 of 425 by trust here, #356 by citations
- Spectroscopy — 26 citations into it; #1,562 of 1,674 by trust here, #1,568 by citations
- Artificial Intelligence — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 15 citations into it; #3,031 of 3,265 by trust here, #3,066 by citations
Whom Dina Schneidman-Duhovny trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya A. Vakser
- Andrej Sali
- M. Petoukhov
- C. G. Broyden
- Ruth Nussinov
- Helen M. Berman
- Dmitri I. Svergun
- Rong Chen
- Haim J. Wolfson
- M. Hammel
Who trusts Dina Schneidman-Duhovny overall
- Ben M. Webb
- D. Ritchie
- Freyr Sverrisson
- B. Coventry
- Andrej Sali
- Shengyou Huang
- I. Kapetanovic
- David Baker
- Nelly Andrusier
- Konrad Krawczyk
Papers from Dina Schneidman-Duhovny's perspective
Ordered by how strongly the researchers Dina Schneidman-Duhovny trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Protein Data Bank.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- Gradient-based learning applied to document recognition
- Docking and scoring protein complexes: CAPRI 3rd Edition
- Attention is All you Need (Neural Information Processing Systems)
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
- ModBase, a database of annotated comparative protein structure models and associated resources (2013) — 416 citations
- PatchDock and SymmDock: servers for rigid and symmetric docking (2005) — 2,889 citations
- FoXS: a web server for rapid computation and fitting of SAXS profiles (2010) — 523 citations
- Accurate SAXS profile computation and its assessment by contrast variation experiments. (2013) — 547 citations
- Efficient Unbound Docking of Rigid Molecules (2002) — 754 citations
- UCSF Chimera, MODELLER, and IMP: an Integrated Modeling System (2011) — 626 citations
- Putting the Pieces Together: Integrative Modeling Platform Software for Structure Determination of Macromolecular Assemblies (2012) — 498 citations
- Predicting molecular interactions in silico: II. Protein-protein and protein-drug docking. (2003) — 99 citations
- FireDock: a web server for fast interaction refinement in molecular docking (2008) — 743 citations
- PharmaGist: a webserver for ligand-based pharmacophore detection (2008) — 264 citations
- Statistical Potential for Modeling and Ranking of Protein-Ligand Interactions (2011) — 68 citations
- Memdock: an α-helical membrane protein docking algorithm (2016) — 39 citations
- ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction (2021) — 245 citations
- FoXS, FoXSDock and MultiFoXS: Single-state and multi-state structural modeling of proteins and their complexes based on SAXS profiles (2016) — 458 citations