Titlebook: Bioinformatics Techniques for Drug Discovery; Applications for Com Aman Chandra Kaushik,Ajay Kumar,Shakti Sahi Book 2018 The Author(s) 2018

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書目名稱Bioinformatics Techniques for Drug Discovery讀者反饋




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MURKY

,Structure-Based Approach for In-silico?Drug Designing,-aided drug design (SB-CADD) depends on the ability to determine and analyse the 3D structures of the target of interest. In other words, a prerequisite for the SB-CADD approach can be defined based on molecule’s ability to interrelate with a specific ligand, that can be a chemical species or biomol

不如屎殼郎

Three-Dimensional (3D) Pharmacophore Modelling-Based Drug Designing by Computational Technique,erest. In the past few years, pharmacophore models have been developed with chemical features and are intuitively understandable and broadly employed successfully in computational drug discovery by the researchers. The concert and utility of pharmacophore modelling are demarcated by the two major fa

加花粗鄙人

Molecular Dynamics Simulation Approach to Investigate Dynamic Behaviour of System Through the Appligrams to study the complex biological and chemical systems. Broadly used in modern drug design, molecular docking methods can be used effectively to understand the macromolecular structure-to-function relationships and ligand conformations adopted within the binding sites of macromolecular targets.

inspired

Fillet,Filet

generic

Genomics and Proteomics Using Computational Biology,ification and elucidation of protein coding gene structures remains challenging. Methods are limited to computational predictions and transcript-level experimental evidence; hence translation cannot be verified. Proteomic mass spectrometry is a method that enables sequencing of gene product fragment

Metamorphosis

Finasteride

Thermodynamic Cycles and Their Application in Protein Targets,optimization, thermodynamic optimization plots and the enthalpic efficiency index, have now been developed to provide proven utility in design process. Improved throughput in calorimetric methods remains essential for even greater integration of thermodynamics into drug design.

Emasculate

2191-5768 r dynamics simulation, the thermodynamics of ligand?receptor and ligand?enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics..978-3-319-75731-5978-3-319-75732-2Series ISSN 2191-5768 Series E-ISSN 2191-5776