| ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years R Nikam, A Kulandaisamy, K Harini, D Sharma, MM Gromiha Nucleic acids research 49 (D1), D420-D424, 2021 | 236 | 2021 |
| Epsin nanotherapy regulates cholesterol transport to fortify atheroma regression K Cui, X Gao, B Wang, H Wu, K Arulsamy, Y Dong, Y Xiao, X Jiang, ... Circulation research 132 (1), e22-e42, 2023 | 63 | 2023 |
| ProNAB: database for binding affinities of protein–nucleic acid complexes and their mutants K Harini, A Srivastava, A Kulandaisamy, MM Gromiha Nucleic acids research 50 (D1), D1528-D1534, 2022 | 58 | 2022 |
| HuVarBase: A human variant database with comprehensive information at gene and protein levels K Ganesan, A Kulandaisamy, S Binny Priya, MM Gromiha PLoS One 14 (1), e0210475, 2019 | 57 | 2019 |
| MutHTP: mutations in human transmembrane proteins A Kulandaisamy, S Binny Priya, R Sakthivel, S Tarnovskaya, I Bizin, ... Bioinformatics 34 (13), 2325-2326, 2018 | 44 | 2018 |
| 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 | 39 | 2017 |
| MPTherm: database for membrane protein thermodynamics for understanding folding and stability A Kulandaisamy, R Sakthivel, MM Gromiha Briefings in Bioinformatics 22 (2), 2119-2125, 2021 | 36 | 2021 |
| Pred‐MutHTP: Prediction of disease‐causing and neutral mutations in human transmembrane proteins A Kulandaisamy, J Zaucha, R Sakthivel, D Frishman, M Michael Gromiha Human Mutation 41 (3), 581-590, 2020 | 36 | 2020 |
| Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structure P Popov, I Bizin, M Gromiha, K A, D Frishman PloS one 14 (7), e0219452, 2019 | 34 | 2019 |
| Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins J Zaucha, M Heinzinger, A Kulandaisamy, E Kataka, ÓL Salvádor, ... Briefings in Bioinformatics 22 (3), bbaa132, 2021 | 31 | 2021 |
| MPTherm-pred: analysis and prediction of thermal stability changes upon mutations in transmembrane proteins A Kulandaisamy, J Zaucha, D Frishman, MM Gromiha Journal of Molecular Biology 433 (11), 166646, 2021 | 28 | 2021 |
| Tbx5 maintains atrial identity in postnatal cardiomyocytes by regulating an atrial-specific enhancer network ME Sweat, Y Cao, X Zhang, O Burnicka-Turek, C Perez-Cervantes, ... Nature cardiovascular research 2 (10), 881-898, 2023 | 24 | 2023 |
| Statistical analysis of disease‐causing and neutral mutations in human membrane proteins A Kulandaisamy, SB Priya, R Sakthivel, D Frishman, MM Gromiha Proteins: Structure, Function, and Bioinformatics 87 (6), 452-466, 2019 | 21 | 2019 |
| Protein interactions: Computational methods, analysis and applications MM Gromiha World Scientific, 2020 | 18 | 2020 |
| Construction of methanol sensing Escherichia coli by the introduction of novel chimeric MxcQZ/OmpR two-component system from Methylobacterium organophilum XX V Selvamani, MK Maruthamuthu, K Arulsamy, GT Eom, SH Hong Korean Journal of Chemical Engineering 34 (6), 1734-1739, 2017 | 17 | 2017 |
| Machine learning in computational modelling of membrane protein sequences and structures: From methodologies to applications J Sun, A Kulandaisamy, J Liu, K Hu, MM Gromiha, Y Zhang Computational and Structural Biotechnology Journal 21, 1205-1226, 2023 | 16 | 2023 |
| MPAD: A database for binding affinity of membrane protein–protein complexes and their mutants F Ridha, A Kulandaisamy, MM Gromiha Journal of Molecular Biology 435 (14), 167870, 2023 | 15 | 2023 |
| Halogen-based 17β-HSD1 inhibitors: insights from DFT, docking, and molecular dynamics simulation studies A Kulandaisamy, M Panneerselvam, RV Solomon, M Jaccob, ... Molecules 27 (12), 3962, 2022 | 12 | 2022 |
| Dissecting and analyzing key residues in protein‐DNA complexes A Kulandaisamy, A Srivastava, R Nagarajan, MM Gromiha Journal of Molecular Recognition 31 (4), e2692, 2018 | 12 | 2018 |
| Low RNA stability signifies strong expression regulatability of tumor suppressors X Gao, Y Yi, J Lv, Y Li, K Arulsamy, SS Babu, I Bruno, L Zhang, Q Cao, ... Nucleic acids research 51 (21), 11534-11548, 2023 | 11 | 2023 |
M. Michael GromihaIndian Institute of Technology MadrasVerified email at iitm.ac.in
