Narayanan Ramamurthi

In silico ADME modelling: prediction models for blood–brain barrier permeation using a systematic variable selection method

2005

In silico ADME modelling 2: Computational models to predict human serum albumin binding affinity using ant colony systems

2006

<i>In Silico</i> ADME Modeling 3: Computational Models to Predict Human Intestinal Absorption Using Sphere Exclusion and kNN QSAR Methods

2007

Prediction of hERG Potassium Channel Blockade Using kNN‐QSAR and Local Lazy Regression Methods

2008

A novel approach to generate robust classification models to predict developmental toxicity from imbalanced datasets

2014

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

2025

AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery

2023

Novel algorithm to select basis functions in spline regression: applications in quantitative structure–activity relationship studies

2012

In silico ADME modeling: QSPR models for the binding of β- lactams to human serum proteins using genetic algorithms

2004

Prediction of Drug-Induced Nephrotoxicity Using Chemical Information and Transcriptomics Data

2025

Deep convolution neural netwroks analysis of chemical images: Applications in drug discovery and development

2019

Prediction of respiratory toxicity using chemical information and machine learning techniques

2019

”Parallelized variable selection and modeling based on prediction” algorithm on GPU for feature selection and ADMET model generation

2017

Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms

2023

Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores

2023

Hybrid Modified League Championship Algorithm and its Applications in Compartmental Pharmacokinetic-Pharmacodynamic Data Analysis

2022

Discovering the Knowledge in Unstructured Early Drug Development Data Using NLP and Advanced Analytics

2022

Generation of reproducible predictive models using parallelized modified teaching learning based search optimization method and its applications in drug discovery and development

2019

Prediction of adverse drug reactions of biased data using bootstrap aggregating and machine learning techniques

2019

Classification models for CaCo-2 permeability using chemical information and machine learning techniques: Scope and limitations

2017

NETCBM - CONDITION BASED MONITORING OF POWER DISTRIBUTION NETWORKS

2013

94. Circuit Breaker Condition Monitoring for Substations

2007