| Abstract PR009: Exploring the functional consequences of APOBEC3-induced non-coding hotspot mutations in bladder cancer using massively parallel reporter assays and CRISPR … R Banday, B Lone, K Butler, D Yesudhas, A Dobbins, A Chakraborty Clinical Cancer Research 30 (10_Supplement), PR009-PR009, 2024 | | 2024 |
| Cell-type specific transcriptional regulation of APOBEC3A in cancers D Yesudhas, B Lone, K Butler, A Chakraborty, AR Banday Cancer Research 84 (6_Supplement), 4347-4347, 2024 | | 2024 |
| APOBEC-induced non-coding hotspot mutations near LEPROTL1 contribute to the tumorigenicity of bladder cancer via deregulation of LEPROTL1, DCTN6 and SARAF B Lone, K Butler, A Dobbins, D Yesudhas, A Chakraborty, E Hickman, ... Cancer Research 84 (6_Supplement), 1472-1472, 2024 | | 2024 |
| Identification of Cancer Hotspot Residues and Driver Mutations Using Machine Learning M Pandey, P Anoosha, D Yesudhas, MM Gromiha Machine Learning in Bioinformatics of Protein Sequences: Algorithms …, 2023 | 3 | 2023 |
| Understanding disorder-to-order transitions in protein–RNA complexes using molecular dynamics simulations A Srivastava, D Yesudhas, S Ahmad, MM Gromiha Journal of Biomolecular Structure and Dynamics 40 (17), 7915-7925, 2022 | 2 | 2022 |
| Identification of potential driver mutations in glioblastoma using machine learning M Pandey, P Anoosha, D Yesudhas, MM Gromiha Briefings in Bioinformatics 23 (6), bbac451, 2022 | 13 | 2022 |
| Exploring plausible therapeutic targets for Alzheimer's disease using multi-omics approach, machine learning and docking. PD SA, NP Sneha, D Yesudhas, A Kulandaisamy, U Rangaswamy, ... Current Topics in Medicinal Chemistry, 2022 | 2 | 2022 |
| Exploring Plausible Therapeutic Targets for Alzheimer's Disease using Multi-omics Approach, Machine Learning and Docking SA Parvathy Dharshini, NP Sneha, D Yesudhas, A Kulandaisamy, ... Current Topics in Medicinal Chemistry 22 (22), 1868-1879, 2022 | 3 | 2022 |
| Tumor heterogeneity and molecular characteristics of glioblastoma revealed by single-cell RNA-Seq data analysis D Yesudhas, SAP Dharshini, YH Taguchi, MM Gromiha Genes 13 (3), 428, 2022 | 5 | 2022 |
| Tackling Covid‐19 using disordered‐to‐order transition of residues in the spike protein upon angiotensin‐converting enzyme 2 binding D Yesudhas, A Srivastava, M Sekijima, MM Gromiha Proteins: Structure, Function, and Bioinformatics 89 (9), 1158-1166, 2021 | 10 | 2021 |
| COVID-19 outbreak: history, mechanism, transmission, structural studies and therapeutics D Yesudhas, A Srivastava, MM Gromiha Infection 49, 199-213, 2021 | 356 | 2021 |
| Deciphering the Role of Residues Involved in Disorder-To-Order Transition Regions in Archaeal tRNA Methyltransferase 5 A Srivastava, D Yesudhas, S Ahmad, MM Gromiha Genes 12 (3), 399, 2021 | | 2021 |
| Deciphering the Role of Residues Involved in Disorder-To-Order Transition Regions in Archaeal tRNA Methyltransferase 5. Genes 2021, 12, 399 A Srivastava, D Yesudhas, S Ahmad, MM Gromiha s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| VEPAD-Predicting the effect of variants associated with Alzheimer's disease using machine learning U Rangaswamy, SAP Dharshini, D Yesudhas, MM Gromiha Computers in biology and medicine 124, 103933, 2020 | 21 | 2020 |
| Role of disordered regions in transferring tyrosine to its cognate tRNA A Srivastava, D Yesudhas, C Ramakrishnan, S Ahmad, MM Gromiha International journal of biological macromolecules 150, 705-713, 2020 | 4 | 2020 |
| Protein interactions: Computational methods, analysis and applications MM Gromiha World Scientific, 2020 | 5 | 2020 |
| Prediction of nucleic acid binding proteins and their binding sites D Yesudhas, A Srivastava, N Muralidharan, A Kulandaisamy, ... PROTEIN INTERACTIONS: Computational Methods, Analysis and Applications, 217-242, 2020 | | 2020 |
| Computational approaches for understanding the recognition mechanism of protein–nucleic acid complexes A Srivastava, D Yesudhas, A Kulandaisamy, N Muralidharan, ... PROTEIN INTERACTIONS: Computational Methods, Analysis and Applications, 169-216, 2020 | | 2020 |
| Structural mechanism of DNA-mediated Nanog–Sox2 cooperative interaction D Yesudhas, MA Anwar, S Choi RSC advances 9 (14), 8121-8130, 2019 | 3 | 2019 |
| Structural and functional studies on stem cell transcription factors-an integrated in silico approach Y DHANUSHA The Graduate School, Ajou University, 2018 | | 2018 |
