E-Book

Quantum Mechanics in Drug Discovery [electronic resource]

  • Heifetz, Alexander. editor.
  • Humana
  • 2020
Quantum Mechanics in Drug Discovery [electronic resource]
  • 자료유형
    단행본
  • 서명/저자사항
    Quantum Mechanics in Drug Discovery[electronic resource] / edited by Alexander Heifetz.
  • 판차
    1st ed.
  • 발행사항
    New York, NY : Humana, 2020.
  • 개인저자
    Heifetz, Alexander., editor., edt, http://id.loc.gov/vocabulary/relators/edt
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    1 online resource.
  • 총서명
    Methods in Molecular Biology,1064-3745 ; 2114
  • 내용주기
    Current and Future Challenges in Modern Drug Discovery -- QM Implementation in Drug Design: Does It Really Help? -- Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) Method -- Analyzing Interactions with the Fragment Molecular Orbital Method -- Underappreciated Chemical Interactions in Protein-Ligand Complexes -- Geometry Optimization, Transition State Search, and Reaction Path Mapping Accomplished with the Fragment Molecular Orbital Method -- Taking Water into Account with the Fragment Molecular Orbital Method -- Computational Methods for Biochemical Simulations Implemented in GAMESS -- QM in Seconds with the Fragment Molecular Orbital and Density-Functional Tight-Binding Methods -- Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn? -- Analyzing GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method -- Characterizing Rhodopsin-Arrestin Interactions with the Fragment Molecular Orbital (FMO) Method -- Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method -- Conformational Searching with Quantum Mechanics -- User-Friendly Quantum Mechanics: Applications for Drug Discovery -- Binding Free Energy Calculation Using Quantum Mechanics Aimed for Drug Lead Optimization -- Molecular Docking Using Quantum Mechanical-Based Methods -- QM Calculations in ADMET Prediction -- Design and SAR Analysis of Covalent Inhibitors Driven by Hybrid QM/MM Simulations -- What?셲 Next for Quantum Mechanics in Structure-Based Drug Discovery?.
  • 일반주제명
    Pharmaceutical technology.
    Bioinformatics.
    Quantum computers.
    Pharmaceutical Sciences/Technology. http://scigraph.springernature.com/things/product-market-codes/B21010
    Bioinformatics. http://scigraph.springernature.com/things/product-market-codes/L15001
    Quantum Computing. http://scigraph.springernature.com/things/product-market-codes/M14070
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781071602812
  • ISBN
    9781071602829
  • 언어
    영어

초록

This volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein?뱇igand poses, describing molecular similarity, structure?밶ctivity-relationship (SAR) analysis, and ADMET prediction. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique, Quantum Mechanics in Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers