Borrow it
Coverart for item
The Resource Bioinformatics techniques for drug discovery : applications for complex diseases, Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi, (electronic book)

Bioinformatics techniques for drug discovery : applications for complex diseases, Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi, (electronic book)

Creator
Author
Contributor
Summary
The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand−receptor and ligand−enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics
Language
eng
Work
Publication
Extent
1 online resource.
Contents
  • Intro; Preface; Contents; About the Authors; 1 Brief Introduction; 1.1 Brief Evolutionary History of In Silico Approaches; 1.2 Computational Drug Discovery and Design; 1.3 Epigenetics: Beyond the Sequence; 1.4 Histones Modification; References; 2 Ligand-Based Approach for In-silico Drug Designing; 2.1 Introduction; 2.2 Molecular Descriptors; 2.2.1 2D QSAR Descriptors; 2.2.2 3D QSAR Descriptors; 2.2.3 Multidimensional QSAR; 2.3 Constitutional Descriptors; 2.4 Quantitative Structure-Activity Relationships; 2.5 Molecular Fingerprint and Similarity Searches; 2.6 Similarity Searches in LB-CADD
  • 2.7 Similarity Networks and off Target Predictions2.8 Fingerprint Extensions; 2.9 Computational Methods for Biomolecular Docking; References; 3 Structure-Based Approach for In-silico Drug Designing; 3.1 Introduction; 3.2 Protein Docking; 3.2.1 Protein-Protein Docking; 3.2.2 Protein-Ligand Docking; References; 4 Three-Dimensional (3D) Pharmacophore Modelling-Based Drug Designing by Computational Technique; 4.1 Introduction; 4.1.1 Pharmacophore Model; References; 5 Molecular Dynamics Simulation Approach to Investigate Dynamic Behaviour of System Through the Application of Newtonian Mechanics
  • 5.1 Introduction5.2 Molecular Dynamics Simulations; 5.3 Monte Carlo Research with Metropolis Criterion; References; 6 Receptor Thermodynamics of Ligand-Receptor or Ligand-Enzyme Association; 6.1 Introduction; 6.2 Database Searching; 6.2.1 De Novo Drug Design; 6.3 State-of-the-Art Free Energy Calculations; References; 7 Thermodynamic Cycles and Their Application in Protein Targets; 7.1 Introduction; 7.2 Protein Targets and Applications; 7.3 4-Hydroxyphenylpyruvate Dioxygenase (HPPD); 7.4 Oligopeptide-Binding Protein a (OppA); References; 8 Genomics and Proteomics Using Computational Biology
  • 8.1 Introduction8.2 Peptide Identification; 8.3 De Novo and Hybrid Algorithms; 8.4 Sequence Database Search Algorithms; 8.5 Scoring of Peptide Identifications; 8.6 Peptide-Spectrum Match Scores and Common Thresholds; 8.7 Fundamentals of Gene Transcription and Translation; 8.8 Genome Sequencing; 8.9 Definition of Genome Annotation; 8.10 Genome Annotation Strategies; 8.11 Proteogenomics; References
Isbn
9783319757315
Instance
Label
Bioinformatics techniques for drug discovery : applications for complex diseases
Title
Bioinformatics techniques for drug discovery
Title remainder
applications for complex diseases
Statement of responsibility
Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
Creator
Contributor
Author
Subject
Language
eng
Summary
The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand−receptor and ligand−enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Kaushik, Aman Chandra
Dewey number
615.1/900285
Index
no index present
LC call number
RS420
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Kumar, Ajay
  • Bharadwaj, Shiv
  • Chaudhary, Ravi
  • Sahi, Shakti
Series statement
SpringerBriefs in computer science,
http://library.link/vocab/subjectName
  • Drugs
  • Bioinformatics
  • Pharmacy informatics
  • Computer Science
  • Computational Biology/Bioinformatics
  • Systems Biology
  • Pharmacology/Toxicology
Label
Bioinformatics techniques for drug discovery : applications for complex diseases, Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; About the Authors; 1 Brief Introduction; 1.1 Brief Evolutionary History of In Silico Approaches; 1.2 Computational Drug Discovery and Design; 1.3 Epigenetics: Beyond the Sequence; 1.4 Histones Modification; References; 2 Ligand-Based Approach for In-silico Drug Designing; 2.1 Introduction; 2.2 Molecular Descriptors; 2.2.1 2D QSAR Descriptors; 2.2.2 3D QSAR Descriptors; 2.2.3 Multidimensional QSAR; 2.3 Constitutional Descriptors; 2.4 Quantitative Structure-Activity Relationships; 2.5 Molecular Fingerprint and Similarity Searches; 2.6 Similarity Searches in LB-CADD
  • 2.7 Similarity Networks and off Target Predictions2.8 Fingerprint Extensions; 2.9 Computational Methods for Biomolecular Docking; References; 3 Structure-Based Approach for In-silico Drug Designing; 3.1 Introduction; 3.2 Protein Docking; 3.2.1 Protein-Protein Docking; 3.2.2 Protein-Ligand Docking; References; 4 Three-Dimensional (3D) Pharmacophore Modelling-Based Drug Designing by Computational Technique; 4.1 Introduction; 4.1.1 Pharmacophore Model; References; 5 Molecular Dynamics Simulation Approach to Investigate Dynamic Behaviour of System Through the Application of Newtonian Mechanics
  • 5.1 Introduction5.2 Molecular Dynamics Simulations; 5.3 Monte Carlo Research with Metropolis Criterion; References; 6 Receptor Thermodynamics of Ligand-Receptor or Ligand-Enzyme Association; 6.1 Introduction; 6.2 Database Searching; 6.2.1 De Novo Drug Design; 6.3 State-of-the-Art Free Energy Calculations; References; 7 Thermodynamic Cycles and Their Application in Protein Targets; 7.1 Introduction; 7.2 Protein Targets and Applications; 7.3 4-Hydroxyphenylpyruvate Dioxygenase (HPPD); 7.4 Oligopeptide-Binding Protein a (OppA); References; 8 Genomics and Proteomics Using Computational Biology
  • 8.1 Introduction8.2 Peptide Identification; 8.3 De Novo and Hybrid Algorithms; 8.4 Sequence Database Search Algorithms; 8.5 Scoring of Peptide Identifications; 8.6 Peptide-Spectrum Match Scores and Common Thresholds; 8.7 Fundamentals of Gene Transcription and Translation; 8.8 Genome Sequencing; 8.9 Definition of Genome Annotation; 8.10 Genome Annotation Strategies; 8.11 Proteogenomics; References
Extent
1 online resource.
Form of item
online
Isbn
9783319757315
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-75732-2
System control number
  • on1033604009
  • (OCoLC)1033604009
Label
Bioinformatics techniques for drug discovery : applications for complex diseases, Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi, (electronic book)
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; About the Authors; 1 Brief Introduction; 1.1 Brief Evolutionary History of In Silico Approaches; 1.2 Computational Drug Discovery and Design; 1.3 Epigenetics: Beyond the Sequence; 1.4 Histones Modification; References; 2 Ligand-Based Approach for In-silico Drug Designing; 2.1 Introduction; 2.2 Molecular Descriptors; 2.2.1 2D QSAR Descriptors; 2.2.2 3D QSAR Descriptors; 2.2.3 Multidimensional QSAR; 2.3 Constitutional Descriptors; 2.4 Quantitative Structure-Activity Relationships; 2.5 Molecular Fingerprint and Similarity Searches; 2.6 Similarity Searches in LB-CADD
  • 2.7 Similarity Networks and off Target Predictions2.8 Fingerprint Extensions; 2.9 Computational Methods for Biomolecular Docking; References; 3 Structure-Based Approach for In-silico Drug Designing; 3.1 Introduction; 3.2 Protein Docking; 3.2.1 Protein-Protein Docking; 3.2.2 Protein-Ligand Docking; References; 4 Three-Dimensional (3D) Pharmacophore Modelling-Based Drug Designing by Computational Technique; 4.1 Introduction; 4.1.1 Pharmacophore Model; References; 5 Molecular Dynamics Simulation Approach to Investigate Dynamic Behaviour of System Through the Application of Newtonian Mechanics
  • 5.1 Introduction5.2 Molecular Dynamics Simulations; 5.3 Monte Carlo Research with Metropolis Criterion; References; 6 Receptor Thermodynamics of Ligand-Receptor or Ligand-Enzyme Association; 6.1 Introduction; 6.2 Database Searching; 6.2.1 De Novo Drug Design; 6.3 State-of-the-Art Free Energy Calculations; References; 7 Thermodynamic Cycles and Their Application in Protein Targets; 7.1 Introduction; 7.2 Protein Targets and Applications; 7.3 4-Hydroxyphenylpyruvate Dioxygenase (HPPD); 7.4 Oligopeptide-Binding Protein a (OppA); References; 8 Genomics and Proteomics Using Computational Biology
  • 8.1 Introduction8.2 Peptide Identification; 8.3 De Novo and Hybrid Algorithms; 8.4 Sequence Database Search Algorithms; 8.5 Scoring of Peptide Identifications; 8.6 Peptide-Spectrum Match Scores and Common Thresholds; 8.7 Fundamentals of Gene Transcription and Translation; 8.8 Genome Sequencing; 8.9 Definition of Genome Annotation; 8.10 Genome Annotation Strategies; 8.11 Proteogenomics; References
Extent
1 online resource.
Form of item
online
Isbn
9783319757315
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-75732-2
System control number
  • on1033604009
  • (OCoLC)1033604009

Subject

Member of

Library Locations

Library Links

Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by University of Liverpool. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...