Sergey Lyskov
Molecular Biology · 2008–2020
A researcher in the Science corpus: 14 papers; trusts 51 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 464 citations into it; #2,321 of 17,773 by trust here, #1,491 by citations
- Materials Chemistry — 230 citations into it; #2,459 of 11,513 by trust here, #4,236 by citations
- Computational Theory and Mathematics — 75 citations into it; #4,218 of 12,182 by trust here, #2,689 by citations
- Radiology, Nuclear Medicine and Imaging — 74 citations into it; #2,794 of 3,265 by trust here, #2,127 by citations
- Computational Biology & Bioinformatics — 54 citations into it; #503 of 660 by trust here, #140 by citations
- Spectroscopy — 41 citations into it
- Artificial Intelligence — 11 citations into it
- Biomedical Engineering — 9 citations into it
Whom Sergey Lyskov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker
- David E. Kim
- D. Ritchie
- Rhiju Das
- Rong Chen
- Tanja Kortemme
- Jeffrey J. Gray
- Stephen R. Comeau
- Dina Schneidman-Duhovny
- Helen M. Berman
Who trusts Sergey Lyskov overall
- Yumeng Yan
- Sjoerd Jacob de Vries
- Iain H. Moal
- Julia Koehler Leman
- Rocco Moretti
- Gary Macindoe
- Andrew M. Watkins
- Jeffrey J. Gray
- Brian G. Pierce
- Brian D. Weitzner
Papers from Sergey Lyskov's perspective
Ordered by how strongly the researchers Sergey Lyskov trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
- Macromolecular modeling with rosetta.
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
Their papers
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules (2011) — 1,780 citations
- Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013) — 199 citations
- Serverification of Molecular Modeling Applications: The Rosetta Online Server That Includes Everyone (ROSIE) (2013) — 417 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Improved prediction of antibody VL-VH orientation. (2016) — 57 citations
- Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP (2016) — 27 citations
- The RosettaDock server for local protein–protein docking (2008) — 586 citations
- Peptiderive server: derive peptide inhibitors from protein–protein interactions (2016) — 97 citations
- Modeling and docking antibody structures with Rosetta (2017) — 253 citations
- Real-Time PyMOL Visualization for Rosetta and PyRosetta (2011) — 89 citations
- DARC 2.0: Improved Docking and Virtual Screening at Protein Interaction Sites (2015) — 21 citations
- Web‐accessible molecular modeling with Rosetta: The Rosetta Online Server that Includes Everyone (ROSIE) (2018) — 90 citations
- Better together: Elements of successful scientific software development in a distributed collaborative community (2020) — 37 citations
- PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta (2010)