Assessing the accuracy of contact predictions in CASP13 R Shrestha, E Fajardo, N Gil, K Fidelis, A Kryshtafovych, B Monastyrskyy, ... Proteins: Structure, Function, and Bioinformatics 87 (12), 1058-1068, 2019 | 82 | 2019 |
A probabilistic fragment-based protein structure prediction algorithm D Simoncini, F Berenger, R Shrestha, KYJ Zhang PloS one 7 (7), e38799, 2012 | 56 | 2012 |
Assessment of chemical‐crosslink‐assisted protein structure modeling in CASP13 JE Fajardo, R Shrestha, N Gil, A Belsom, SN Crivelli, C Czaplewski, ... Proteins: Structure, Function, and Bioinformatics 87 (12), 1283-1297, 2019 | 33 | 2019 |
Durandal: fast exact clustering of protein decoys F Berenger, R Shrestha, Y Zhou, D Simoncini, KYJ Zhang Journal of computational chemistry 33 (4), 471-474, 2012 | 26 | 2012 |
Entropy-accelerated exact clustering of protein decoys F Berenger, Y Zhou, R Shrestha, KYJ Zhang Bioinformatics 27 (7), 939-945, 2011 | 25 | 2011 |
A fragmentation and reassembly method for ab initio phasing R Shrestha, KYJ Zhang Biological Crystallography 71 (2), 304-312, 2015 | 23 | 2015 |
Redesigning HVEM interface for selective binding to LIGHT, BTLA, and CD160 R Shrestha, SC Garrett-Thomson, W Liu, SC Almo, A Fiser Structure 28 (11), 1197-1205. e2, 2020 | 17 | 2020 |
Improving fragment quality for de novo structure prediction R Shrestha, KYJ Zhang Proteins: Structure, Function, and Bioinformatics 82 (9), 2240-2252, 2014 | 17 | 2014 |
A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties AB Waight, D Prihoda, R Shrestha, K Metcalf, M Bailly, M Ancona, ... MAbs 15 (1), 2248671, 2023 | 16 | 2023 |
Computational redesign of PD-1 interface for PD-L1 ligand selectivity R Shrestha, SC Garrett, SC Almo, A Fiser Structure 27 (5), 829-836. e3, 2019 | 15 | 2019 |
Accelerating ab initio phasing with de novo models R Shrestha, F Berenger, KYJ Zhang Biological Crystallography 67 (9), 804-812, 2011 | 13 | 2011 |
Error-estimation-guided rebuilding of de novo models increases the success rate of ab initio phasing R Shrestha, D Simoncini, KYJ Zhang Biological Crystallography 68 (11), 1522-1534, 2012 | 9 | 2012 |
Residue-based pharmacophore approaches to study protein–protein interactions R Shrestha, JE Fajardo, A Fiser Current opinion in structural biology 67, 205-211, 2021 | 7 | 2021 |
ModuleSearch: finding functional modules in a protein–protein interaction network G Cui, R Shrestha, K Han Computer methods in biomechanics and biomedical engineering 15 (7), 691-699, 2012 | 6 | 2012 |
Prediction of RNA-binding residues in proteins using the interaction propensities of amino acids and nucleotides R Shrestha, J Kim, K Han Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008 | 4 | 2008 |
Allosteric regulation of binding specificity of HVEM for CD160 and BTLA ligands upon G89F mutation R Shrestha, S Garrett-Thomson, W Liu, SC Almo, A Fiser Current Research in Structural Biology 3, 337-345, 2021 | 3 | 2021 |
The crystal and solution structure of YdiE from Escherichia coli K Nishimura, C Addy, R Shrestha, ARD Voet, KYJ Zhang, Y Ito, JRH Tame Structural Biology and Crystallization Communications 71 (7), 919-924, 2015 | 3 | 2015 |
Fragger: a protein fragment picker for structural queries F Berenger, D Simoncini, A Voet, R Shrestha, KYJ Zhang F1000Research 6, 1722, 2018 | 2 | 2018 |
Accelerating ab initio phasing with de novo models KYJ Zhang, R Shrestha, F Berenger ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES 67, C591-C591, 2011 | 2 | 2011 |
Estimating the accuracy of pharmacophore‐based detection of cognate receptor‐ligand pairs in the immunoglobulin superfamily N Gil, R Shrestha, A Fiser Proteins: Structure, Function, and Bioinformatics 89 (6), 632-638, 2021 | 1 | 2021 |