| Computational methods for traditional Chinese medicine: a survey S Lukman, Y He, SC Hui Computer methods and programs in biomedicine 88 (3), 283-294, 2007 | 203 | 2007 |
| Novel allosteric sites on Ras for lead generation BJ Grant, S Lukman, HJ Hocker, J Sayyah, JH Brown, JA McCammon, ... PloS one 6 (10), e25711, 2011 | 154 | 2011 |
| The distinct conformational dynamics of K-Ras and H-Ras A59G S Lukman, BJ Grant, AA Gorfe, GH Grant, JA McCammon PLoS computational biology 6 (9), e1000922, 2010 | 90 | 2010 |
| Mapping the structural and dynamical features of multiple p53 DNA binding domains: insights into loop 1 intrinsic dynamics S Lukman, DP Lane, CS Verma PloS one 8 (11), e80221, 2013 | 61 | 2013 |
| Inhibition of human amylin aggregation and cellular toxicity by lipoic acid and ascorbic acid SK Azzam, H Jang, MC Choi, H Alsafar, S Lukman, S Lee Molecular Pharmaceutics 15 (6), 2098-2106, 2018 | 31 | 2018 |
| R248Q mutation—Beyond p53‐DNA binding JWK Ng, D Lama, S Lukman, DP Lane, CS Verma, AYL Sim Proteins: Structure, Function, and Bioinformatics 83 (12), 2240-2250, 2015 | 25 | 2015 |
| Malware detection in android mobile platform using machine learning algorithms M Al Ali, D Svetinovic, Z Aung, S Lukman 2017 International Conference on Infocom Technologies and Unmanned Systems …, 2017 | 22 | 2017 |
| Centroid-based actionable 3D subspace clustering K Sim, GE Yap, DR Hardoon, V Gopalkrishnan, G Cong, S Lukman IEEE transactions on knowledge and data engineering 25 (6), 1213-1226, 2012 | 19 | 2012 |
| Aggregation and cellular toxicity of pathogenic or non-pathogenic proteins S Lee, MC Choi, K Al Adem, S Lukman, TY Kim Scientific reports 10 (1), 1-14, 2020 | 16 | 2020 |
| Unraveling evolutionary constraints: a heterogeneous conservation in dynamics of the titin Ig domains S Lukman, GH Grant, JM Bui FEBS letters 584 (6), 1235-1239, 2010 | 15 | 2010 |
| A network of dynamically conserved residues deciphers the motions of maltose transporter S Lukman, GH Grant Proteins: Structure, Function, and Bioinformatics 76 (3), 588-597, 2009 | 13 | 2009 |
| Interacting amino acid preferences of 3D pattern pairs at the binding sites of transient and obligate protein complexes S Lukman, K Sim, J Li, YPP Chen Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 69-78, 2008 | 13 | 2008 |
| Exploiting protein intrinsic flexibility in drug design S Lukman, CS Verma, G Fuentes Protein Conformational Dynamics, 245-269, 2014 | 12 | 2014 |
| Allosteric binding sites in Rab11 for potential drug candidates AP Kumar, S Lukman PloS one 13 (6), e0198632, 2018 | 10 | 2018 |
| Structural analysis of protein tyrosine phosphatase 1B reveals potentially druggable allosteric binding sites AP Kumar, MN Nguyen, C Verma, S Lukman Proteins: Structure, Function, and Bioinformatics 86 (3), 301-321, 2018 | 10 | 2018 |
| Harnessing structural data of insulin and insulin receptor for therapeutic designs S Lukman, H Al Safar, SM Lee, K Sim Journal of Endocrinology and Metabolism 5 (5), 273-283, 2015 | 9 | 2015 |
| Conformational dynamics of capping protein and interaction partners: simulation studies S Lukman, RC Robinson, D Wales, CS Verma Proteins: Structure, Function, and Bioinformatics 80 (4), 1066-1077, 2012 | 9 | 2012 |
| Inhibition of lysozyme aggregation and cellular toxicity by organic acids at acidic and physiological pH conditions K Al Adem, S Lukman, TY Kim, S Lee International Journal of Biological Macromolecules 149, 921-930, 2020 | 7 | 2020 |
| Discovery of Rab1 binding sites using an ensemble of clustering methods S Lukman, MN Nguyen, K Sim, JCM Teo Proteins: Structure, Function, and Bioinformatics 85 (5), 859-871, 2017 | 7 | 2017 |
| Novel Druggable sites of insulin-degrading enzyme identified through applied structural bioinformatics analysis S Lukman Procedia computer science 80, 2292-2296, 2016 | 5 | 2016 |
Chandra VermaBioinformatics InstituteVerified email at bii.a-star.edu.sg
