| HexServer: an FFT-based protein docking server powered by graphics processors G Macindoe, L Mavridis, V Venkatraman, MD Devignes, DW Ritchie Nucleic acids research 38 (suppl_2), W445-W449, 2010 | 755 | 2010 |
| Ultra-fast FFT protein docking on graphics processors DW Ritchie, V Venkatraman Bioinformatics 26 (19), 2398-2405, 2010 | 434 | 2010 |
| Protein-protein docking using region-based 3D Zernike descriptors V Venkatraman, YD Yang, L Sael, D Kihara BMC bioinformatics 10, 1-21, 2009 | 220 | 2009 |
| Comprehensive comparison of ligand-based virtual screening tools against the DUD data set reveals limitations of current 3D methods V Venkatraman, VI Pérez-Nueno, L Mavridis, DW Ritchie Journal of chemical information and modeling 50 (12), 2079-2093, 2010 | 150 | 2010 |
| Potential for protein surface shape analysis using spherical harmonics and 3D Zernike descriptors V Venkatraman, L Sael, D Kihara Cell biochemistry and biophysics 54, 23-32, 2009 | 116 | 2009 |
| Predicting CO2 capture of ionic liquids using machine learning V Venkatraman, BK Alsberg Journal of CO2 Utilization 21, 162-168, 2017 | 98 | 2017 |
| 3D-SURFER: software for high-throughput protein surface comparison and analysis D La, J Esquivel-Rodríguez, V Venkatraman, B Li, L Sael, S Ueng, ... Bioinformatics 25 (21), 2843-2844, 2009 | 92 | 2009 |
| Predicting Ionic Liquid Melting Points using Machine Learning V Venkatraman, S Evjen, H Knuutila, A Fiksdahl, B Alsberg Journal of Molecular Liquids, 2018 | 88 | 2018 |
| Benzotriazoles, benzothiazoles and trace elements in an urban road setting in Trondheim, Norway: Re-visiting the chemical markers of traffic pollution J Asheim, K Vike-Jonas, SV Gonzalez, S Lierhagen, V Venkatraman, ... Science of the Total Environment 649, 703-711, 2019 | 78 | 2019 |
| Evaluation of mutual information and genetic programming for feature selection in QSAR V Venkatraman, AR Dalby, ZR Yang Journal of chemical information and computer sciences 44 (5), 1686-1692, 2004 | 73 | 2004 |
| FP-ADMET: a compendium of fingerprint-based ADMET prediction models V Venkatraman Journal of Cheminformatics 13 (1), 2021 | 72 | 2021 |
| Local initiation conditions for water autoionization M Moqadam, A Lervik, E Riccardi, V Venkatraman, BK Alsberg, ... Proceedings of the National Academy of Sciences, 201714070, 2018 | 71 | 2018 |
| Application of 3D Zernike descriptors to shape-based ligand similarity searching V Venkatraman, PR Chakravarthy, D Kihara Journal of cheminformatics 1, 1-19, 2009 | 67 | 2009 |
| Highly efficient cellulose dissolution by alkaline ionic liquids KC Lethesh, S Evjen, V Venkatraman, SN Shah, A Fiksdahl Carbohydrate polymers 229, 115594, 2020 | 62 | 2020 |
| Flexible protein docking refinement using pose‐dependent normal mode analysis V Venkatraman, DW Ritchie Proteins: Structure, Function, and Bioinformatics 80 (9), 2262-2274, 2012 | 61 | 2012 |
| The dye-sensitized solar cell database V Venkatraman, R Raju, SP Oikonomopoulos, BK Alsberg Journal of Cheminformatics 10, 1-9, 2018 | 60 | 2018 |
| Automated design of realistic organometallic molecules from fragments M Foscato, G Occhipinti, V Venkatraman, BK Alsberg, VR Jensen Journal of Chemical Information and Modeling 54 (3), 767-780, 2014 | 57 | 2014 |
| Rapid, comprehensive screening of ionic liquids towards sustainable applications V Venkatraman, S Evjen, KC Lethesh, JJ Raj, HK Knuutila, A Fiksdahl Sustainable Energy & Fuels 3 (10), 2798-2808, 2019 | 53 | 2019 |
| Fast protein structure alignment using Gaussian overlap scoring of backbone peptide fragment similarity DW Ritchie, AW Ghoorah, L Mavridis, V Venkatraman Bioinformatics 28 (24), 3274-3281, 2012 | 51 | 2012 |
| A Quantitative Structure-Property Relationship Study of the Photovoltaic Performance of Phenothiazine Dyes V Venkatraman, BK Alsberg Dyes and Pigments, 2014 | 48 | 2014 |
Lazaros MavridisAbbvie - Director, Data ScienceVerified email at abbvie.com