Anil K. Saxena

According to our database1, Anil K. Saxena authored at least 11 papers between 2005 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2013
Identification of Novel Amino Acid Derived CCK-2R Antagonists As Potential Antiulcer Agent: Homology Modeling, Design, Synthesis, and Pharmacology.
J. Chem. Inf. Model., 2013

2012
Identification of Novel <i>S-</i>Adenosyl-l-Homocysteine Hydrolase Inhibitors through Homology-Model-Based Virtual Screening, Synthesis, and Biological Evaluation.
J. Chem. Inf. Model., 2012

Toward the Identification of a Reliable 3D QSAR Pharmacophore Model for the CCK2 Receptor Antagonism.
J. Chem. Inf. Model., 2012

2011
Structural Basis for the β-Adrenergic Receptor Subtype Selectivity of the Representative Agonists and Antagonists.
J. Chem. Inf. Model., 2011

Profiling the Structural Determinants for the Selectivity of Representative Factor-Xa and Thrombin Inhibitors Using Combined Ligand-Based and Structure-Based Approaches.
J. Chem. Inf. Model., 2011

2010
Pharmacophore Modeling of Substituted 1, 2, 4-Trioxanes for Quantitative Prediction of their Antimalarial Activity.
J. Chem. Inf. Model., 2010

2009
Consensus Superiority of the Pharmacophore-Based Alignment, Over Maximum Common Substructure (MCS): 3D-QSAR Studies on Carbamates as Acetylcholinesterase Inhibitors.
J. Chem. Inf. Model., 2009

2006
Evaluation of Binary QSAR Models Derived from LUDI and MOE Scoring Functions for Structure Based Virtual Screening.
J. Chem. Inf. Model., 2006

3D QSAR Studies on Protein Tyrosine Phosphatase 1B Inhibitors: Comparison of the Quality and Predictivity among 3D QSAR Models Obtained from Different Conformer-Based Alignments.
J. Chem. Inf. Model., 2006

2005
CoMFA and Docking Studies on Glycogen Phosphorylase <i>a</i> Inhibitors as Antidiabetic Agents.
J. Chem. Inf. Model., 2005

Characterization of β<sub>3</sub>-adrenergic receptor: determination of pharmacophore and 3D QSAR model for β<sub>3</sub> adrenergic receptor agonism.
J. Comput. Aided Mol. Des., 2005


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