O. Schueler‐Furman

Molecular Biology · 2003–2021

A researcher in the Science corpus: 14 papers; trusts 27 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 426 citations into it; #949 of 17,773 by trust here, #2,147 by citations
• Materials Chemistry — 222 citations into it; #1,204 of 11,513 by trust here, #3,270 by citations
• Computational Theory and Mathematics — 100 citations into it; #5,114 of 12,182 by trust here, #976 by citations
• Computational Biology & Bioinformatics — 76 citations into it
• Radiology, Nuclear Medicine and Imaging — 61 citations into it
• Spectroscopy — 39 citations into it; #735 of 1,674 by trust here, #427 by citations

Whom O. Schueler‐Furman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Baker
2. Rhiju Das
3. Barak Raveh
4. Brian Kuhlman
5. Joël Janin
6. Tanja Kortemme
7. Nir London
8. Rong Chen
9. Inbal Halperin
10. K. Simons

Who trusts O. Schueler‐Furman overall

1. Aroop Sircar
2. Jeffrey J. Gray
3. Barak Raveh
4. Nelly Andrusier
5. Nir London
6. Sidhartha Chaudhury
7. Andrew Leaver-Fay
8. Isak Johansson-Åkhe
9. David Baker
10. Alexandre M. J. J. Bonvin

Papers from O. Schueler‐Furman's perspective

Ordered by how strongly the researchers O. Schueler‐Furman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Protein data bank
2. The Protein Data Bank.
3. Native protein sequences are close to optimal for their structures.
4. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
5. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
6. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
7. Repurposing Citizen Science Games as Software Tools for Professional Scientists
8. A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
9. Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
10. CAPRI: A Critical Assessment of PRedicted Interactions (Proteins: Structure, Function, and Bioinformatics)

Their papers

• Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (2003) — 1,114 citations
• Improved side‐chain modeling for protein–protein docking (2005) — 239 citations
• Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions? (2010) — 167 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Rosetta predictions in CASP5: Successes, failures, and prospects for complete automation (2003) — 188 citations
• Peptiderive server: derive peptide inhibitors from protein–protein interactions (2016) — 97 citations
• High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock (2017) — 144 citations
• Sub‐angstrom modeling of complexes between flexible peptides and globular proteins (2010) — 415 citations
• Autophosphorylation Activates Dictyostelium Myosin II Heavy Chain Kinase A by Providing a Ligand for an Allosteric Binding Site in the α-Kinase Domain* (2010) — 25 citations
• Rosetta FlexPepDock web server—high resolution modeling of peptide–protein interactions (2011) — 396 citations
• Rosetta FlexPepDock ab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors (2011) — 297 citations
• Harnessing protein folding neural networks for peptide–protein docking (2021) — 299 citations
• Better together: Elements of successful scientific software development in a distributed collaborative community (2020) — 37 citations
• Application of asymmetric statistical potentials to antibody-protein docking (2012) — 198 citations