S. Ajmani

发表

Application of GQSAR for Scaffold Hopping and Lead Optimization in Multitarget Inhibitors

Sudhir A. Kulkarni, S. Ajmani, 2012, Molecular informatics.

Modeling and interactions of Aspergillus fumigatus lanosterol 14-alpha demethylase 'A' with azole antifungals.

Sudhir A. Kulkarni, S. Ajmani, Reena Gollapudy, 2004, Bioorganic & medicinal chemistry.

Group‐Based QSAR (G‐QSAR): Mitigating Interpretation Challenges in QSAR

Sudhir A. Kulkarni, Subhash Ajmani, Kamalakar Jadhav, 2009 .

Toward a general predictive QSAR model for gamma-secretase inhibitors

S. Ajmani, V. Viswanadhan, S. Janardhan, 2013, Molecular Diversity.

Rationalizing Protein–Ligand Interactions for PTP1B Inhibitors Using Computational Methods

Sudhir A. Kulkarni, S. Ajmani, S. Karanam, 2009, Chemical biology & drug design.

Characterization of Mixtures Part 1: Prediction of Infinite‐Dilution Activity Coefficients Using Neural Network‐Based QSPR Models

S. C. Rogers, D. Livingstone, S. Ajmani, 2008 .

A Dual‐Response Partial Least Squares Regression QSAR Model and its Application in Design of Dual Activators of PPARα and PPARγ

Sudhir A. Kulkarni, S. Ajmani, 2008 .

Advantage of k-Nearest Neighbor Method for developing QSAR models

S. Ajmani, 2007 .

Antiprotozoal Nitazoxanide Derivatives: Synthesis, Bioassays and QSAR Study Combined with Docking for Mechanistic Insight

S. Ajmani, T. Scior, R. Moo-Puc, 2015, Current computer-aided drug design.

Application of QSPR to Mixtures

David J. Livingstone, Subhash Ajmani, Stephen C. Rogers, 2006, J. Chem. Inf. Model..

Application of QSPR to Mixtures.

S. C. Rogers, D. Livingstone, S. Ajmani, 2006 .

A comprehensive structure-activity analysis of protein kinase B-alpha (Akt1) inhibitors.

Sudhir A. Kulkarni, S. Ajmani, Avantika Agrawal, 2010, Journal of molecular graphics & modelling.

In silico studies with human DNA topoisomerase-II alpha to unravel the mechanism of in vitro genotoxicity of benzene and its metabolites.

S. Ajmani, A. Pandey, A. Dhawan, 2009, Mutation research.

Three-Dimensional QSAR Using the k-Nearest Neighbor Method and Its Interpretation

Sudhir A. Kulkarni, Subhash Ajmani, Kamalakar Jadhav, 2006, J. Chem. Inf. Model..

An Improved Approximation to the Estimation of the Critical F Values in Best Subset Regression

David W. Salt, David J. Livingstone, Subhash Ajmani, 2007, J. Chem. Inf. Model..

Quantitative structure-activity relationship analysis of a series of trans-octahydro-11-oxodibenzo-[b,e]-thiepin propionic acid derivatives

S. Ajmani, S. Chaturvedi, 1998 .

Toward a general predictive QSAR model for gamma-secretase inhibitors

S. Ajmani, V. Viswanadhan, S. Janardhan, 2013, Molecular Diversity.

A neural network-based QSAR approach for exploration of diverse multi-tyrosine kinase inhibitors and its comparison with a fragment- based approach.

S. Ajmani, V. Viswanadhan, 2013, Current computer-aided drug design.

Application of GQSAR for Scaffold Hopping and Lead Optimization in Multitarget Inhibitors

Sudhir A. Kulkarni, S. Ajmani, 2012, Molecular informatics.