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Journal of Molecular Modeling
|
February 14, 2008
Minimum requirements of hydrophobic and hydrophilic features in cationic peptide antibiotics (CPAs): pharmacophore generation and validation with cationic steroid antibiotics (CSAs)
Sandeep Sundriyal, Rohit K Sharma, Rahul Jain, et al.
Molecular Diversity
|
December 27, 2022
Curation and cheminformatics analysis of a Ugi-reaction derived library (URDL) of synthetically tractable small molecules for virtual screening application
Mukesh Tandi, Nancy Tripathi, Animesh Gaur, et al.
Biochemistry and Biophysics Reports
|
March 5, 2021
Use of a molecular beacon based fluorescent method for assaying uracil DNA glycosylase (Ung) activity and inhibitor screening
Avani Mehta, Prateek Raj, Sandeep Sundriyal, et al.
Journal of Biomolecular Structure & Dynamics
|
November 18, 2023
Identification of synthetically tractable MERS-CoV main protease inhibitors using structure-based virtual screening and molecular dynamics potential of mean force (PMF) calculations
Shailesh Mani Tripathi, Shopnil Akash, Md Anisur Rahman, et al.
The Journal of Physical Chemistry. B
|
August 20, 2010
Conformational polymorphism in sulfonylurea drugs: electronic structure analysis
Yoganjaneyulu Kasetti, Nikunj K Patel, Sandeep Sundriyal, et al.
Journal of Medicinal Chemistry
|
June 26, 2023
Basic Nitrogen (BaN) Is a Key Property of Antimalarial Chemical Space
Harsha Valluri, Amritansh Bhanot, Shreeya Shah, et al.
Chemmedchem
|
November 28, 2009
New antimicrobial hexapeptides: synthesis, antimicrobial activities, cytotoxicity, and mechanistic studies
Rohit K Sharma, Sandeep Sundriyal, Nishima Wangoo, et al.
Medchemcomm
|
March 10, 2015
Identification of 2,4-diamino-6,7-dimethoxyquinoline derivatives as G9a inhibitors†Electronic supplementary information (ESI) available. See DOI: 10.1039/c4md00274a
Nitipol Srimongkolpithak, Sandeep Sundriyal, Fengling Li, et al.
BMC Chemistry
|
January 30, 2025
Development and experimental validation of a machine learning model for the prediction of new antimalarials
Mukul Kore, Dimple Acharya, Lakshya Sharma, et al.
Journal of Medicinal Chemistry
|
November 6, 2009
Coordination chemistry based approach to lipophilic inhibitors of 1-deoxy-D-xylulose-5-phosphate reductoisomerase
Lisheng Deng, Sandeep Sundriyal, Valentina Rubio, et al.
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Search research articles
Search
Showing results (11-20 of 37) with videos related to
Sort By:
Page
of 4
Journal of Molecular Modeling
|
February 14, 2008
Minimum requirements of hydrophobic and hydrophilic features in cationic peptide antibiotics (CPAs): pharmacophore generation and validation with cationic steroid antibiotics (CSAs)
Sandeep Sundriyal, Rohit K Sharma, Rahul Jain, et al.
Molecular Diversity
|
December 27, 2022
Curation and cheminformatics analysis of a Ugi-reaction derived library (URDL) of synthetically tractable small molecules for virtual screening application
Mukesh Tandi, Nancy Tripathi, Animesh Gaur, et al.
Biochemistry and Biophysics Reports
|
March 5, 2021
Use of a molecular beacon based fluorescent method for assaying uracil DNA glycosylase (Ung) activity and inhibitor screening
Avani Mehta, Prateek Raj, Sandeep Sundriyal, et al.
Journal of Biomolecular Structure & Dynamics
|
November 18, 2023
Identification of synthetically tractable MERS-CoV main protease inhibitors using structure-based virtual screening and molecular dynamics potential of mean force (PMF) calculations
Shailesh Mani Tripathi, Shopnil Akash, Md Anisur Rahman, et al.
The Journal of Physical Chemistry. B
|
August 20, 2010
Conformational polymorphism in sulfonylurea drugs: electronic structure analysis
Yoganjaneyulu Kasetti, Nikunj K Patel, Sandeep Sundriyal, et al.
Journal of Medicinal Chemistry
|
June 26, 2023
Basic Nitrogen (BaN) Is a Key Property of Antimalarial Chemical Space
Harsha Valluri, Amritansh Bhanot, Shreeya Shah, et al.
Chemmedchem
|
November 28, 2009
New antimicrobial hexapeptides: synthesis, antimicrobial activities, cytotoxicity, and mechanistic studies
Rohit K Sharma, Sandeep Sundriyal, Nishima Wangoo, et al.
Medchemcomm
|
March 10, 2015
Identification of 2,4-diamino-6,7-dimethoxyquinoline derivatives as G9a inhibitors†Electronic supplementary information (ESI) available. See DOI: 10.1039/c4md00274a
Nitipol Srimongkolpithak, Sandeep Sundriyal, Fengling Li, et al.
BMC Chemistry
|
January 30, 2025
Development and experimental validation of a machine learning model for the prediction of new antimalarials
Mukul Kore, Dimple Acharya, Lakshya Sharma, et al.
Journal of Medicinal Chemistry
|
November 6, 2009
Coordination chemistry based approach to lipophilic inhibitors of 1-deoxy-D-xylulose-5-phosphate reductoisomerase
Lisheng Deng, Sandeep Sundriyal, Valentina Rubio, et al.
Page
of 4