Search Result "Pharmacophore mapping"


Pharmacophore Mapping: An Important Tool in Modern Drug Design and Discovery

Ebook: Applied Computer-Aided Drug Design: Models and Methods

Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815179934123010005

Predicting Molecular Interactions In Silico: I. An Updated Guide to Pharmacophore Identification and its Applications to Drug Design

Ebook: Young People’s Visions of the World

Volume: 3 Year: 2010
Author(s): Oranit Dror, Alexandra Shulman-Peleg, Ruth Nussinov, Haim J. Wolfson
Doi: 10.2174/97816080520661060301

Matrix Metalloproteinase Inhibitors: A Review on Pharmacophore Mapping and (Q)SARs Results

Ebook: Young People’s Visions of the World

Volume: 4 Year: 2010
Author(s): Christos A. Kontogiorgis, Paraskevi Papaioannou, Dimitra J. Hadjipavlou-Litina
Doi: 10.2174/97816080520731090401

Pharmacophore Modeling Approach in Drug Discovery Against the Tropical Infectious Disease Malaria

Ebook: Frontiers in Computational Chemistry

Volume: 6 Year: 2022
Author(s): Prakash C. Jha
Doi: 10.2174/9789815036848122060006

Morpholine: Pharmacophore Modulating Pharmacokinetic Properties of Anticancer Leads

Ebook: Key Heterocyclic Cores for Smart Anticancer Drug–Design Part II

Volume: 2 Year: 2022
Author(s):
Doi: 10.2174/9789815040043122020008

Recent Advances in the Structure-Guided Design of Protein Kinase Inhibitors

Ebook: Young People’s Visions of the World

Volume: 3 Year: 2010
Author(s): Campbell McInnes
Doi: 10.2174/97816080520111070301

Current Trends in Molecular Modeling to Discover New Anti-inflammatory Drugs Targeting mPGES1

Ebook: Frontiers in Computational Chemistry

Volume: 7 Year: 2024
Author(s):
Doi: 10.2174/9789815179033124070004

Peptidomimetics: Current and Future Perspectives on HIV Protease Inhibitors

Ebook: Advances in Organic Synthesis

Volume: 17 Year: 2022
Author(s):
Doi: 10.2174/9789815040524122170007

In Silico Approaches for Determination of Drug Targets

Ebook: Frontiers in Anti-Infective Drug Discovery

Volume: 5 Year: 2017
Author(s): Nikita Chordia,Anil Kumar
Doi: 10.2174/9781681082912117050008

In silico Approaches to Tyrosine Kinase Inhibitors’ Development

Ebook: Marvels of Artificial and Computational Intelligence in Life Sciences

Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136807123010014

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