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Anish Gomatam
Anish Gomatam
Project Scientist, CSIR-CDRI
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Year
A QSAR modeling approach for predicting myeloid antimicrobial peptides with high sequence similarity
FH Waghu, U Gawde, A Gomatam, E Coutinho, S Idicula‐Thomas
Chemical biology & drug design 96 (6), 1408-1417, 2020
52020
Predicting toxicity of endocrine disruptors and blood–brain barrier permeability using chirality-sensitive descriptors and machine learning
A Gomatam, B Joseph, U Gawde, K Raikuvar, E Coutinho
Computational Toxicology 24, 100240, 2022
42022
Eigen Value ANalySis (EVANS)‒A Tool to Address Pharmacodynamic, Pharmacokinetic and Toxicity Issues: Proof of Concept Study on Pharmacodynamic Datasets
B Joseph, AN Gomatam, MAS Shaikh, V Khedkar, EAF Martis, ...
International Journal of Quantitative Structure-Property Relationships …, 2019
42019
How effective are ionization state-based QSPKR models at predicting pharmacokinetic parameters in humans?
A Gomatam, B Joseph, P Advani, M Shaikh, K Iyer, E Coutinho
Molecular Diversity 27 (4), 1675-1687, 2023
22023
Role of computational modelling in drug discovery for HIV
A Gomatam, A Khan, K Raikuvar, M D’costa, E Coutinho
Current Trends in Computational Modeling for Drug Discovery, 157-194, 2023
12023
Deciphering the multi-functional role of Indian propolis for the management of Alzheimer’s disease by integrating LC–MS/MS, network pharmacology, molecular docking, and in …
S Sankaran, R Dubey, A Gomatam, R Chakor, A Kshirsagar, S Lohidasan
Molecular Diversity, 1-18, 2024
2024
A Chirality-Sensitive Approach to Predict Chemical Transfer Across the Human Placental Barrier
A Gomatam, E Coutinho
Toxicology Letters, 2024
2024
Improved QSAR models for PARP-1 inhibition using data balancing, interpretable machine learning, and matched molecular pair analysis
A Gomatam, BU Hirlekar, KD Singh, US Murty, VA Dixit
Molecular Diversity, 1-18, 2024
2024
Combinatorial Chemistry: Role in Lead Discovery
P Ambre, A Gomatam, S Nandan, E Coutinho
Handbook of Research on Medicinal Chemistry, 4-61, 2018
2018
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