Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients P Ramesh, S Veerappapillai, R Karuppasamy Gene reports 22, 100980, 2021 | 16 | 2021 |
A review on recent advancements in diagnosis and classification of cancers using artificial intelligence P Ramesh, R Karuppasamy, S Veerappapillai BioMedicine 10 (3), 5, 2020 | 8 | 2020 |
Machine learning driven drug repurposing strategy for identification of potential RET inhibitors against non-small cell lung cancer P Ramesh, R Karuppasamy, S Veerappapillai Medical Oncology 40 (1), 56, 2022 | 7 | 2022 |
Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy P Ramesh, WH Shin, S Veerappapillai Pharmaceutics 13 (11), 1775, 2021 | 7 | 2021 |
Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer—Fragment Based Drug Design Strategy P Ramesh, S Veerappapillai Molecules 27 (5), 1590, 2022 | 5 | 2022 |
Prediction of Micronucleus Assay Outcome Using In Vivo Activity Data and Molecular Structure Features P Ramesh, S Veerappapillai Applied Biochemistry and Biotechnology 193 (12), 4018-4034, 2021 | 2 | 2021 |
Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiers P Ramesh, S Veerappapillai Smart Science 11 (2), 395-407, 2023 | 1 | 2023 |
Exploring Machine Learning Models for Recurrence Prediction in Lung Cancer Patients. P Ramesh, A Jain, R Karuppasamy, S Veerappapillai Indian Journal of Pharmaceutical Education & Research 56, 2022 | | 2022 |
Pharmacophore-Based Hypothesis Combined with Molecular Docking Protocol for the Screening of Anticancer Compounds from Streptomyces sp. S Subburaj, P Ramesh, S Veerappapillai Methods in Actinobacteriology, 319-333, 2022 | | 2022 |