In‐depth and 3‐dimensional exploration of the budding yeast phosphoproteome MC Lanz, K Yugandhar, S Gupta, EJ Sanford, VM Faça, S Vega, ... EMBO reports 22 (2), e51121, 2021 | 131 | 2021 |
Protein–protein interactions: scoring schemes and binding affinity MM Gromiha, K Yugandhar, S Jemimah Current opinion in structural biology 44, 31-38, 2017 | 131 | 2017 |
Protein–protein binding affinity prediction from amino acid sequence K Yugandhar, MM Gromiha Bioinformatics 30 (24), 3583-3589, 2014 | 127 | 2014 |
PROXiMATE: a database of mutant protein–protein complex thermodynamics and kinetics S Jemimah, K Yugandhar, M Michael Gromiha Bioinformatics 33 (17), 2787-2788, 2017 | 64 | 2017 |
Inferring protein-protein interaction networks from mass spectrometry-based proteomic approaches: a mini-review K Yugandhar, S Gupta, H Yu Computational and structural biotechnology journal 17, 805-811, 2019 | 54 | 2019 |
Feature selection and classification of protein–protein complexes based on their binding affinities using machine learning approaches K Yugandhar, MM Gromiha Proteins: Structure, Function, and Bioinformatics 82 (9), 2088-2096, 2014 | 42 | 2014 |
MaXLinker: proteome-wide cross-link identifications with high specificity and sensitivity K Yugandhar, TY Wang, AKY Leung, MC Lanz, I Motorykin, J Liang, ... Molecular & Cellular Proteomics 19 (3), 554-568, 2020 | 38 | 2020 |
Structure-based validation can drastically underestimate error rate in proteome-wide cross-linking mass spectrometry studies K Yugandhar, TY Wang, SD Wierbowski, EE Shayhidin, H Yu Nature methods 17 (10), 985-988, 2020 | 31 | 2020 |
Structural basis of TRAPPIII‐mediated Rab1 activation AMN Joiner, BP Phillips, K Yugandhar, EJ Sanford, MB Smolka, H Yu, ... The EMBO Journal 40 (12), e107607, 2021 | 26 | 2021 |
Important amino acid residues involved in folding and binding of protein–protein complexes A Kulandaisamy, V Lathi, K ViswaPoorani, K Yugandhar, MM Gromiha International journal of biological macromolecules 94, 438-444, 2017 | 22 | 2017 |
Analysis of protein-protein interaction networks based on binding affinity K Yugandhar, M Michael Gromiha Current Protein and Peptide Science 17 (1), 72-81, 2016 | 13 | 2016 |
Integrating computational methods and experimental data for understanding the recognition mechanism and binding affinity of protein-protein complexes MM Gromiha, K Yugandhar Progress in Biophysics and Molecular Biology 128, 33-38, 2017 | 11 | 2017 |
Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein–Protein Complexes K Yugandhar, MM Gromiha Methods Mol. Biol., 237-253, 2017 | 9 | 2017 |
Deep learning-based method for predicting and classifying the binding affinity of protein-protein complexes R Nikam, K Yugandhar, MM Gromiha Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1871 (6), 140948, 2023 | 8 | 2023 |
Handcuffing intrinsically disordered regions in Mlh1–Pms1 disrupts mismatch repair CM Furman, TY Wang, Q Zhao, K Yugandhar, H Yu, E Alani Nucleic Acids Research 49 (16), 9327-9341, 2021 | 8 | 2021 |
DeepBSRPred: Deep learning-based binding site residue prediction for proteins R Nikam, K Yugandhar, MM Gromiha Amino Acids 55 (10), 1305-1316, 2023 | 6 | 2023 |
Progress in methodologies and quality‐control strategies in protein cross‐linking mass spectrometry K Yugandhar, Q Zhao, S Gupta, D Xiong, H Yu Proteomics 21 (23-24), 2100145, 2021 | 6 | 2021 |
Discrimination and prediction of protein-protein binding affinity using deep learning approach R Nikam, K Yugandhar, M Michael Gromiha Intelligent Computing Theories and Application: 14th International …, 2018 | 5 | 2018 |
Binding affinity of protein–protein complexes: experimental techniques, databases and computational methods S Jemimah, Y Kumar, MM Gromiha PROTEIN INTERACTIONS: Computational Methods, Analysis and Applications, 87-108, 2020 | 2 | 2020 |
Large-scale mapping of protein-protein interactions from crosslinking mass spectrometry H Yu, S Zhang, K Yugandhar, I Motorykin US Patent US11215621B2, 2022 | | 2022 |