| Insights into the Role of Asp792.50 in β2 Adrenergic Receptor Activation from Molecular Dynamics Simulations A Ranganathan, RO Dror, J Carlsson Biochemistry 53 (46), 7283-7296, 2014 | 78 | 2014 |
| Complementarity between in Silico and Biophysical Screening Approaches in Fragment-Based Lead Discovery against the A2A Adenosine Receptor D Chen, A Ranganathan, AP IJzerman, G Siegal, J Carlsson Journal of chemical information and modeling 53 (10), 2701-2714, 2013 | 77 | 2013 |
| Mapping the Interface of a GPCR Dimer: A Structural Model of the A2A Adenosine and D2 Dopamine Receptor Heteromer DO Borroto-Escuela, D Rodriguez, W Romero-Fernandez, J Kapla, ... Frontiers in pharmacology 9, 829, 2018 | 71 | 2018 |
| Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A2A adenosine receptor binding site P Matricon, A Ranganathan, E Warnick, ZG Gao, A Rudling, ... Scientific reports 7 (1), 6398, 2017 | 55 | 2017 |
| Discovery of GPCR ligands by molecular docking screening: novel opportunities provided by crystal structures D Rodríguez, A Ranganathan, J Carlsson Current Topics in Medicinal Chemistry 15 (24), 2484-2503, 2015 | 35 | 2015 |
| Fragment-based discovery of subtype-selective adenosine receptor ligands from homology models A Ranganathan, LA Stoddart, SJ Hill, J Carlsson Journal of Medicinal Chemistry 58 (24), 9578-9590, 2015 | 26 | 2015 |
| Ligand discovery for a peptide-binding GPCR by structure-based screening of fragment-and lead-like chemical libraries A Ranganathan, P Heine, A Rudling, A Pluckthun, L Kummer, J Carlsson ACS chemical biology 12 (3), 735-745, 2017 | 25 | 2017 |
| Strategies for improved modeling of GPCR-drug complexes: blind predictions of serotonin receptors bound to ergotamine D Rodríguez, A Ranganathan, J Carlsson Journal of Chemical Information and Modeling 54 (7), 2004-2021, 2014 | 25 | 2014 |
| Structure-based discovery of GPCR ligands from crystal structures and homology models A Ranganathan, D Rodríguez, J Carlsson Structure and function of GPCRs, 65-99, 2019 | 8 | 2019 |
| “Adapted Linear Interaction Energy”: A Structure-Based LIE Parametrization for Fast Prediction of Protein–Ligand Affinities M Linder, A Ranganathan, T Brinck Journal of Chemical Theory and Computation 9 (2), 1230-1239, 2013 | 7 | 2013 |
| The impact of GPCR structures on understanding receptor function and ligand binding A Ranganathan Department of Biochemistry and Biophysics, Stockholm University, 2016 | 1 | 2016 |
| Mapping Structural Drivers of Insulin and its Analogs at the IGF-1 Receptor Using Molecular Dynamics and Free Energy Calculations A Ranganathan, MM Sena Sr, M Gromiha, M Chatterji, A Khedkar bioRxiv, 2023.12. 02.569705, 2023 | | 2023 |
| Mapping Structural Drivers of Insulin Analogs Using Molecular Dynamics and Free Energy Calculations at Insulin Receptor MM Sena, C Ramakrishnan, MM Gromiha, M Chatterji, A Khedkar, ... bioRxiv, 2022.05. 27.493461, 2022 | | 2022 |
| Mapping the Structural Drivers of Insulin Recognition and Specificity Using Molecular Dynamics and Free Energy Calculations MM Sena, C Ramakrishnan, MM Gromiha, M Chatterji, A Khedkar, ... | | 2022 |
| Ligand discovery from adenosine receptor crystal structures and homology models J Carlsson, D Rodriguez, A Ranganathan, SM Moss, ZG Gao, LA Stoddart, ... PURINERGIC SIGNALLING 10 (4), 771-772, 2014 | | 2014 |
| Protein–Ligand Binding: Estimation of Binding Free Energies A Ranganathan | | 2012 |
| Supplementary information: Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A2A adenosine receptor binding site P Matricon, A Ranganathan, E Warnick, ZG Gao, A Rudling, ... | | |
