mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides V Boopathi, S Subramaniyam, A Malik, G Lee, B Manavalan, DC Yang International journal of molecular sciences 20 (8), 1964, 2019 | 175 | 2019 |
Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network A Malik, S Ahmad BMC Structural Biology 7, 1-14, 2007 | 116 | 2007 |
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework L Wei, W He, A Malik, R Su, L Cui, B Manavalan Briefings in Bioinformatics 22 (4), bbaa275, 2021 | 108 | 2021 |
Identification of genes differentially expressed in myogenin knock-down bovine muscle satellite cells during differentiation through RNA sequencing analysis EJ Lee, A Malik, S Pokharel, S Ahmad, BA Mir, KH Cho, J Kim, JC Kong, ... PloS one 9 (3), e92447, 2014 | 51 | 2014 |
Fibromodulin and regulation of the intricate balance between myoblast differentiation to myocytes or adipocyte‐like cells E Ju Lee, A Tasleem Jan, M Hassan Baig, K Ahmad, A Malik, G Rabbani, ... The FASEB Journal 32 (2), 768-781, 2018 | 47 | 2018 |
PROCARB: A Database of Known and Modelled Carbohydrate‐Binding Protein Structures with Sequence‐Based Prediction Tools A Malik, A Firoz, V Jha, S Ahmad Advances in bioinformatics 2010 (1), 436036, 2010 | 42 | 2010 |
Genome-based analysis for the bioactive potential of Streptomyces yeochonensis CN732, an acidophilic filamentous soil actinobacterium A Malik, YR Kim, IH Jang, S Hwang, DC Oh, SB Kim BMC genomics 21, 1-16, 2020 | 30 | 2020 |
SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information A Malik, S Subramaniyam, CB Kim, B Manavalan Computational and structural biotechnology journal 20, 165-174, 2022 | 29 | 2022 |
Residue propensities, discrimination and binding site prediction of adenine and guanine phosphates A Firoz, A Malik, KH Joplin, Z Ahmad, V Jha, S Ahmad BMC biochemistry 12, 1-12, 2011 | 28 | 2011 |
Genome based characterization of Kitasatospora sp. MMS16-BH015, a multiple heavy metal resistant soil actinobacterium with high antimicrobial potential BR Yun, A Malik, SB Kim Gene 733, 144379, 2020 | 27 | 2020 |
A comprehensive in silico analysis of sortase superfamily A Malik, SB Kim Journal of Microbiology 57, 431-443, 2019 | 27 | 2019 |
Network analysis for the identification of differentially expressed hub genes using myogenin knock-down muscle satellite cells A Malik, EJ Lee, AT Jan, S Ahmad, KH Cho, J Kim, I Choi PLoS One 10 (7), e0133597, 2015 | 26 | 2015 |
H2Opred: a robust and efficient hybrid deep learning model for predicting 2’-O-methylation sites in human RNA NT Pham, R Rakkiyapan, J Park, A Malik, B Manavalan Briefings in Bioinformatics 25 (1), bbad476, 2024 | 23 | 2024 |
Community-based network study of protein-carbohydrate interactions in plant lectins using glycan array data A Malik, J Lee, J Lee PLoS One 9 (4), e95480, 2014 | 21 | 2014 |
Genome Mining of the Genus Streptacidiphilus for Biosynthetic and Biodegradation Potential A Malik, YR Kim, SB Kim Genes 11 (10), 1166, 2020 | 20 | 2020 |
CDKD: a clinical database of kidney diseases SK Singh, A Malik, A Firoz, V Jha BMC nephrology 13, 1-10, 2012 | 20 | 2012 |
ContPro: a web tool for calculating amino acid contact distances in protein from 3D‐structures at different distance threshold A Firoz, A Malik, O Afzal, V Jha Bioinformation 5 (2), 55, 2010 | 20 | 2010 |
Role of transportome in the gills of Chinese mitten crabs in response to salinity change: A meta-analysis of rna-seq datasets A Malik, CB Kim Biology 10 (1), 39, 2021 | 19 | 2021 |
Databases and QSAR for cancer research A Malik, H Singh, M Andrabi, SA Husain, S Ahmad Cancer informatics 2, 117693510600200002, 2006 | 16 | 2006 |
GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features A Malik, W Shoombuatong, CB Kim, B Manavalan International Journal of Biological Macromolecules 229, 529-538, 2023 | 15 | 2023 |