Author

Jaleel UCA

Open Source Pharma - Cited by 268 - Cheminformatics

Biography

Dr. UCA Jaleel is a Principal Scientist at the OSPF-NIAS Drug Discovery Lab, NIAS IISc Campus Bangalore. He leads a team of drug discovery researchers who focus on various aspects of cheminformatics, including machine learning and AI-based analysis of neglected tropical diseases like TB, Malaria, and Leishmaniasis. His primary focus is in the application of machine learning and AI models in the medicinal chemistry data sets. He successfully applied ANN based machine learning models on the inconclusive molecules of the beta-lactamase bioassays of Mycobacterium tuberculosis.
Title
Cited by
Year
Phthalates efficiently bind to human peroxisome proliferator activated receptor and retinoid X receptor α, β, γ subtypes: an in silico approach
MK Sarath Josh, S Pradeep, KS Vijayalekshmi Amma, S Balachandran, ...Journal of applied toxicology 34 (7), 754-765, 2014201
80
2014
Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets
V Periwal, JK Rajappan, AUC Jaleel, V ScariaBMC research notes 4 (1), 1-10, 2011201
55
2011
In silico evidences for the binding of phthalates onto human estrogen receptor α, β subtypes and human estrogen-related receptor γ
MK Sarath Josh, S Pradeep, VK Adarsh, KS Vijayalekshmi Amma, ...Molecular Simulation 40 (5), 408-417, 2014201
35
2014
In-silico predictive mutagenicity model generation using supervised learning approaches
A Seal, A Passi, UCA Jaleel, ...Journal of cheminformatics 4, 1-11, 2012201
27
2012
GPURFSCREEN: a GPU based virtual screening tool using random forest classifier
PB Jayaraj, MK Ajay, M Nufail, G Gopakumar, UCA JaleelJournal of cheminformatics 8 (1), 1-10, 2016201
21
2016
Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis
AS Gaur, A Bhardwaj, A Sharma, L John, MR Vivek, N Tripathi, ...Journal of Chemical Sciences 129, 515-531, 202
17
2017
Computational predictive models for organic semiconductors
R Sajeev, RS Athira, M Nufail, KR Jinu Raj, M Rakhila, SM Nair, ...Journal of Computational Electronics 12, 790-795, 2013201
11
2013
Feature optimization in high dimensional chemical space: Statistical and data mining solutions
J KR, A Gad, AT Manuel, AJ UCBMC research notes 11 (1), 1-7, 2018201
6
2018
A GPU based virtual screening tool using SOM
PB Jayaraj, KM Mithun, G Gopakumar, UCA JaleelInternational Journal of Computational Biology and Drug Design 14 (1), 64-80, 2021202
3
2021
Virtual screening and repositioning of inconclusive molecules of beta-lactamase bioassays—A data mining approach
A Gad, AT Manuel, KR Jinuraj, L John, R Sajeev, SP VG, AJ UCComputational biology and chemistry 70, 65-88, 2017201
3
2017
Comparison between investigational IR and crystallographic data with computational chemistry tools as validation of the methods
UCA Jaleel, M Rakhila, G ParameswaranAdvances in Physical Chemistry 2010, 2010201
3
2010
Ligand based virtual screening using self-organizing maps
PB Jayaraj, S Sanjay, K Raja, G Gopakumar, UC JaleelThe Protein Journal, 1-11, 0
2
2022
A decision making components in cyclisation of mannose derivatives–A computational approach
M Rakhila, KR Jinuraj, M Dhanalakshmi, D Reshmi, AT Manuel, U JaleelIJRPC 8 (1), 17-31, 01801
2
2018
Performance of knowledge-based biological models in higher dimensional chemical space
AP Kavitha, UCA Jaleel, VMA Mujeeb, K MuraleedharanChemometrics and Intelligent Laboratory Systems 153, 58-66, 01601
2
2016
Toxicity prediction of anti tuberculosis active molecules
A Jaleel. UCNature Precedings, -, 202
1
2011

Referred From: https://scholar.google.co.in/citations?user=BYFgph0AAAAJ&hl=fa

Cited by
Citations 268
h-index 7
i10-index 7
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