| DeepSF: deep convolutional neural network for mapping protein sequences to folds J Hou, B Adhikari, J Cheng Bioinformatics 34 (8), 1295-1303, 2018 | 231 | 2018 |
| DNCON2: improved protein contact prediction using two-level deep convolutional neural networks B Adhikari, J Hou, J Cheng Bioinformatics 34 (9), 1466-1472, 2018 | 185 | 2018 |
| CONFOLD: Residue‐residue contact‐guided ab initio protein folding B Adhikari, D Bhattacharya, R Cao, J Cheng Proteins: Structure, Function, and Bioinformatics 83 (8), 1436-1449, 2015 | 184 | 2015 |
| Deep learning-based advances in protein structure prediction SC Pakhrin, B Shrestha, B Adhikari, DB Kc International journal of molecular sciences 22 (11), 5553, 2021 | 104 | 2021 |
| QAcon: single model quality assessment using protein structural and contact information with machine learning techniques R Cao, B Adhikari, D Bhattacharya, M Sun, J Hou, J Cheng Bioinformatics 33 (4), 586-588, 2017 | 98 | 2017 |
| CONFOLD2: improved contact-driven ab initio protein structure modeling B Adhikari, J Cheng BMC bioinformatics 19, 1-5, 2018 | 83 | 2018 |
| Deep learning methods for protein torsion angle prediction H Li, J Hou, B Adhikari, Q Lyu, J Cheng BMC bioinformatics 18, 1-13, 2017 | 75 | 2017 |
| Large-scale model quality assessment for improving protein tertiary structure prediction R Cao, D Bhattacharya, B Adhikari, J Li, J Cheng Bioinformatics 31 (12), i116-i123, 2015 | 67 | 2015 |
| DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout B Adhikari Bioinformatics 36 (2), 470-477, 2020 | 66 | 2020 |
| Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealing B Adhikari, T Trieu, J Cheng BMC genomics 17, 1-9, 2016 | 58 | 2016 |
| A fully open-source framework for deep learning protein real-valued distances B Adhikari Scientific reports 10 (1), 13374, 2020 | 55 | 2020 |
| A dominant TRPV4 variant underlies osteochondrodysplasia in Scottish fold cats B Gandolfi, S Alamri, WG Darby, B Adhikari, JC Lattimer, R Malik, ... Osteoarthritis and cartilage 24 (8), 1441-1450, 2016 | 54 | 2016 |
| Protein residue contacts and prediction methods B Adhikari, J Cheng Data Mining Techniques for the Life Sciences, 463-476, 2016 | 43 | 2016 |
| Analysis of several key factors influencing deep learning-based inter-residue contact prediction T Wu, J Hou, B Adhikari, J Cheng Bioinformatics 36 (4), 1091-1098, 2020 | 37 | 2020 |
| A Novel Variant in CMAH Is Associated with Blood Type AB in Ragdoll Cats B Gandolfi, RA Grahn, NA Gustafson, D Proverbio, E Spada, B Adhikari, ... PloS one 13 (3), e0194471, 2018 | 29 | 2018 |
| ConEVA: a toolbox for comprehensive assessment of protein contacts B Adhikari, J Nowotny, D Bhattacharya, J Hou, J Cheng BMC bioinformatics 17, 1-12, 2016 | 27 | 2016 |
| Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning B Adhikari, J Hou, J Cheng Proteins: Structure, Function, and Bioinformatics 86, 84-96, 2018 | 25 | 2018 |
| Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11 R Cao, D Bhattacharya, B Adhikari, J Li, J Cheng Proteins: Structure, Function, and Bioinformatics 84, 247-259, 2016 | 25 | 2016 |
| An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 C Keasar, LJ McGuffin, B Wallner, G Chopra, B Adhikari, D Bhattacharya, ... Scientific reports 8 (1), 9939, 2018 | 24 | 2018 |
| Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts B Adhikari, J Cheng BMC bioinformatics 18, 1-13, 2017 | 22 | 2017 |
Jianlin ChengCurators' Distinguished Professor, University of MissouriPatvirtintas el. paštas missouri.edu