Protein–protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations JJ Gray, S Moughon, C Wang, O Schueler-Furman, B Kuhlman, CA Rohl, ... Journal of molecular biology 331 (1), 281-299, 2003 | 1342 | 2003 |
Macromolecular modeling and design in Rosetta: recent methods and frameworks JK Leman, BD Weitzner, SM Lewis, J Adolf-Bryfogle, N Alam, RF Alford, ... Nature methods 17 (7), 665-680, 2020 | 617 | 2020 |
Sub‐angstrom modeling of complexes between flexible peptides and globular proteins B Raveh, N London, O Schueler‐Furman Proteins: Structure, Function, and Bioinformatics 78 (9), 2029-2040, 2010 | 438 | 2010 |
The structural basis of peptide-protein binding strategies N London, D Movshovitz-Attias, O Schueler-Furman Structure 18 (2), 188-199, 2010 | 438 | 2010 |
Rosetta FlexPepDock web server—high resolution modeling of peptide–protein interactions N London, B Raveh, E Cohen, G Fathi, O Schueler-Furman Nucleic acids research 39 (suppl_2), W249-W253, 2011 | 420 | 2011 |
Progress in modeling of protein structures and interactions O Schueler-Furman, C Wang, P Bradley, K Misura, D Baker science 310 (5748), 638-642, 2005 | 374 | 2005 |
Rosetta FlexPepDock ab-initio: simultaneous folding, docking and refinement of peptides onto their receptors B Raveh, N London, L Zimmerman, O Schueler-Furman PloS one 6 (4), e18934, 2011 | 314 | 2011 |
Improved side‐chain modeling for protein–protein docking C Wang, O Schueler‐Furman, D Baker Protein Science 14 (5), 1328-1339, 2005 | 280 | 2005 |
Protein–peptide docking: opportunities and challenges M Ciemny, M Kurcinski, K Kamel, A Kolinski, N Alam, O Schueler-Furman, ... Drug discovery today 23 (8), 1530-1537, 2018 | 275 | 2018 |
Druggable protein–protein interactions–from hot spots to hot segments N London, B Raveh, O Schueler-Furman Current opinion in chemical biology 17 (6), 952-959, 2013 | 250 | 2013 |
Rosetta predictions in CASP5: successes, failures, and prospects for complete automation P Bradley, D Chivian, J Meiler, KMS Misura, CA Rohl, WR Schief, ... Proteins: Structure, Function, and Bioinformatics 53 (S6), 457-468, 2003 | 247 | 2003 |
Application of asymmetric statistical potentials to antibody–protein docking R Brenke, DR Hall, GY Chuang, SR Comeau, T Bohnuud, D Beglov, ... Bioinformatics 28 (20), 2608-2614, 2012 | 205 | 2012 |
Structure-based prediction of binding peptides to MHC class I molecules: application to a broad range of MHC alleles O Schueler-Furman, Y Altuvia, A Sette, H Margalit Protein Science 9 (9), 1838-1846, 2000 | 200 | 2000 |
Harnessing protein folding neural networks for peptide–protein docking T Tsaban, JK Varga, O Avraham, Z Ben-Aharon, A Khramushin, ... Nature communications 13 (1), 176, 2022 | 197 | 2022 |
Relacin, a novel antibacterial agent targeting the stringent response E Wexselblatt, Y Oppenheimer-Shaanan, I Kaspy, N London, ... Public Library of Science 8 (9), e1002925, 2012 | 186 | 2012 |
Can self‐inhibitory peptides be derived from the interfaces of globular protein–protein interactions? N London, B Raveh, D Movshovitz‐Attias, O Schueler‐Furman Proteins: Structure, Function, and Bioinformatics 78 (15), 3140-3149, 2010 | 171 | 2010 |
Ubiquitination and degradation of the inhibitors of NF-κB N Kanarek, N London, O Schueler-Furman, Y Ben-Neriah Cold Spring Harbor perspectives in biology 2 (2), a000166, 2010 | 167 | 2010 |
Community-wide assessment of protein-interface modeling suggests improvements to design methodology SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ... Journal of molecular biology 414 (2), 289-302, 2011 | 157 | 2011 |
Protein–protein docking predictions for the CAPRI experiment JJ Gray, SE Moughon, T Kortemme, O Schueler‐Furman, KMS Misura, ... Proteins: Structure, Function, and Bioinformatics 52 (1), 118-122, 2003 | 133 | 2003 |
High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock N Alam, O Goldstein, B Xia, KA Porter, D Kozakov, O Schueler-Furman PLoS computational biology 13 (12), e1005905, 2017 | 131 | 2017 |