DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features Y Chu, AC Kaushik, X Wang, W Wang, Y Zhang, X Shan, DR Salahub, ... Briefings in Bioinformatics 22 (1), 451-462, 2021 | 160 | 2021 |
Computational identification, characterization and validation of potential antigenic peptide vaccines from hrHPVs E6 proteins using immunoinformatics and computational systems … A Khan, M Junaid, AC Kaushik, A Ali, SS Ali, A Mehmood, DQ Wei PloS one 13 (5), e0196484, 2018 | 88 | 2018 |
Integrated PPI-and WGCNA-retrieval of hub gene signatures shared between Barrett's esophagus and esophageal adenocarcinoma AS Nangraj, G Selvaraj, S Kaliamurthi, AC Kaushik, WC Cho, DQ Wei Frontiers in pharmacology 11, 524503, 2020 | 71 | 2020 |
Artificial neural networks for prediction of tuberculosis disease MT Khan, AC Kaushik, L Ji, SI Malik, S Ali, DQ Wei Frontiers in microbiology 10, 395, 2019 | 68 | 2019 |
Nano-particle mediated inhibition of Parkinson’s disease using computational biology approach AC Kaushik, S Bharadwaj, S Kumar, DQ Wei Scientific reports 8 (1), 9169, 2018 | 67 | 2018 |
Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein–Barr virus (EBV) A Ali, A Khan, AC Kaushik, Y Wang, SS Ali, M Junaid, S Saleem, ... Scientific reports 9 (1), 720, 2019 | 66 | 2019 |
SPVec: a Word2vec-inspired feature representation method for drug-target interaction prediction YF Zhang, X Wang, AC Kaushik, Y Chu, X Shan, MZ Zhao, Q Xu, DQ Wei Frontiers in chemistry 7, 895, 2020 | 60 | 2020 |
Sahi. S (2018). Artificial neural network-based model for orphan GPCRs AC Kaushik Neural. Comput. Appl, 29,985-992, 0 | 58 | |
The emerging role of major regulatory RNAs in cancer control X Dai, AC Kaushik, J Zhang Frontiers in oncology 9, 920, 2019 | 54 | 2019 |
Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms G Selvaraj, S Kaliamurthi, AC Kaushik, A Khan, YK Wei, WC Cho, K Gu, ... Journal of biomedical informatics 86, 120-134, 2018 | 54 | 2018 |
Nanotheranostic applications for detection and targeting neurodegenerative diseases A Kumar, RK Chaudhary, R Singh, SP Singh, SY Wang, ZY Hoe, CT Pan, ... Frontiers in Neuroscience 14, 305, 2020 | 49 | 2020 |
Structure based virtual screening studies to identify novel potential compounds for GPR142 and their relative dynamic analysis for study of type 2 diabetes AC Kaushik, S Kumar, DQ Wei, S Sahi Frontiers in chemistry 6, 23, 2018 | 49 | 2018 |
Structures of SARS-CoV-2 RNA-binding proteins and therapeutic targets MT Khan, M Irfan, H Ahsan, A Ahmed, AC Kaushik, AS Khan, ... Intervirology 64 (2), 55-68, 2021 | 46 | 2021 |
AI-driven drug discovery: A boon against COVID-19? AC Kaushik, U Raj Ai Open 1, 1-4, 2020 | 44 | 2020 |
Combining in silico and in vitro approaches to identification of potent inhibitor against phospholipase A2 (PLA2) S Chinnasamy, G Selvaraj, C Selvaraj, AC Kaushik, S Kaliamurthi, ... International journal of biological macromolecules 144, 53-66, 2020 | 43 | 2020 |
Designing of CD8+ and CD8+-overlapped CD4+ epitope vaccine by targeting late and early proteins of human papillomavirus S Kaliamurthi, G Selvaraj, AC Kaushik, KR Gu, DQ Wei Biologics: Targets and Therapy, 107-125, 2018 | 39 | 2018 |
Molecular docking and molecular dynamics simulation studies to identify potent AURKA inhibitors: Assessing the performance of density functional theory, MM-GBSA and mass action … S Chinnasamy, G Selvaraj, AC Kaushik, S Kaliamurthi, S Chandrabose, ... Journal of Biomolecular Structure and Dynamics 38 (14), 4325-4335, 2020 | 38 | 2020 |
Deep-learning-based target screening and similarity search for the predicted inhibitors of the pathways in Parkinson's disease A Khan, AC Kaushik, SS Ali, N Ahmad, DQ Wei RSC advances 9 (18), 10326-10339, 2019 | 38 | 2019 |
Exosomal ncRNAs profiling of mycobacterial infection identified miRNA-185-5p as a novel biomarker for tuberculosis AC Kaushik, Q Wu, L Lin, H Li, L Zhao, Z Wen, Y Song, Q Wu, J Wang, ... Briefings in Bioinformatics 22 (6), bbab210, 2021 | 34 | 2021 |
The systematic modeling studies and free energy calculations of the phenazine compounds as anti-tuberculosis agents Y Wang, A Khan, AC Kaushik, M Junaid, X Zhang, DQ Wei Journal of Biomolecular Structure and Dynamics, 2018 | 33 | 2018 |