The ten most wanted solutions in protein bioinformatics. (2005)
- Record Type:
- Book
- Title:
- The ten most wanted solutions in protein bioinformatics. (2005)
- Main Title:
- The ten most wanted solutions in protein bioinformatics
- Further Information:
- Note: Anna Tramontano.
- Other Names:
- Tramontano, Anna
- Contents:
- Problem 1 Protein Sequence Alignment; Introduction to the Problem, The Evolution of Proteins (Evolution-Based Inference of Protein Function, Orthology and Paralogy, Protein Families, Similarity Matrices, Indel Penalties, Local versus Global Alignment), How Do We Align Sequences? (Global Alignment of Two Protein Sequences:, The Needleman and Wunsch Algorithm, Local Alignment of Two Protein Sequences:, The Smith and Waterman Algorithm, Multiple-Sequence Alignments, Profiles, Hidden Markov Models, Database Searching), Reliability of Present Methods and Promising Avenues, Suggested Reading; Problem 2 Predicting Protein Features from the Sequence; Introduction to the Problem, Deterministic Patterns, Stochastic Patterns, Specificity and Sensitivity of a Feature Prediction (The ROC Curve), The Prediction of Protein Domain Boundaries, Reliability of Present Methods and Promising Avenues, Suggested Reading; Problem 3 Function Prediction; Introduction to the Problem, The Definition of Biological Function, The Function Vocabulary, Protein Names, Text Mining, Transferring Functional Annotations by Similarity, Transcriptomics, Proteomics, Promising Avenues, Suggested Reading; Problem 4 Protein Structure Prediction; Introduction to the Problem, Energetic Calculations of Protein Structures (Energy Calculation, Molecular Mechanics, Potentials of Mean Force), Searching the Protein Conformational Space (Molecular Dynamics, Monte Carlo Methods, Simulated Annealing, Genetic Algorithms),Problem 1 Protein Sequence Alignment; Introduction to the Problem, The Evolution of Proteins (Evolution-Based Inference of Protein Function, Orthology and Paralogy, Protein Families, Similarity Matrices, Indel Penalties, Local versus Global Alignment), How Do We Align Sequences? (Global Alignment of Two Protein Sequences:, The Needleman and Wunsch Algorithm, Local Alignment of Two Protein Sequences:, The Smith and Waterman Algorithm, Multiple-Sequence Alignments, Profiles, Hidden Markov Models, Database Searching), Reliability of Present Methods and Promising Avenues, Suggested Reading; Problem 2 Predicting Protein Features from the Sequence; Introduction to the Problem, Deterministic Patterns, Stochastic Patterns, Specificity and Sensitivity of a Feature Prediction (The ROC Curve), The Prediction of Protein Domain Boundaries, Reliability of Present Methods and Promising Avenues, Suggested Reading; Problem 3 Function Prediction; Introduction to the Problem, The Definition of Biological Function, The Function Vocabulary, Protein Names, Text Mining, Transferring Functional Annotations by Similarity, Transcriptomics, Proteomics, Promising Avenues, Suggested Reading; Problem 4 Protein Structure Prediction; Introduction to the Problem, Energetic Calculations of Protein Structures (Energy Calculation, Molecular Mechanics, Potentials of Mean Force), Searching the Protein Conformational Space (Molecular Dynamics, Monte Carlo Methods, Simulated Annealing, Genetic Algorithms), Knowledge-Based Methods, Evolution-Based Methods, Fold Recognition, Fragment-Based Methods, Natively Unfolded Proteins, Promising Avenues, Suggested Reading; Problem 5 Membrane Proteins; Introduction to the Problem, The Structure of the Membrane, The Structure of Membrane Proteins, Prediction of the Structure of Membrane Proteins, Prediction of the Topography of Membrane Proteins, Prediction of the Topology of Membrane Proteins, Prediction of the Three-Dimensional Structure of, Membrane Proteins, Promising Avenues, Suggested Reading; Problem 6 Functional Site Identification; Introduction to the Problem, Structural Genomics, Structural Superposition (Root Mean Square Deviation, Structural Superposition between Two Different, Proteins, Distance Matrices), Structural Classification of Proteins, Detecting the Active Site, Moonlight Proteins, Promising Avenues, Suggested Reading; Problem 7 Protein-Protein Interaction; Introduction to the Problem, Protein Interactions, Sequence-Based Methods for Predicting Interactions, Experimental Methods for Detecting Protein-Protein, Interactions, Structure-Based Methods for Predicting Interactions, Representation of Protein Structures for Docking (Computational Approaches to Include Protein, Flexibility in Docking Procedures, Searching Conformational Space for Docking, Scoring Docking Solutions), The CAPRI Experiment, Promising Avenues, Suggested Reading; Problem 8 Protein-Small Molecule Interaction; Introduction to the Problem, Search Strategies and Scoring Functions, Fragment-Based and Point-Complementarity Methods, Distance Geometry-Based Methods, Virtual Screening, The Properties of a Drug, Promising Avenues, Suggested Reading; Problem 9 Protein Design; Introduction to the Problem, Intuitive Design, Lattice Models and Automatic Methods, Promising Avenues, Suggested Reading; Problem 10 Protein Engineering; Introduction to the Problem, Combining Functions, Global Properties, Active and Binding Sites, Catalytic Antibodies, Combinatorial Design, Dissecting the Folding Pathway of Proteins, Promising Avenues, Suggested Reading; Conclusions; Index … (more)
- Publisher Details:
- Place of publication not identified : Chapman and Hall/CRC
- Publication Date:
- 2005
- Extent:
- 1 online resource, illustrations
- Subjects:
- 572.6
Proteomics
Bioinformatics - Languages:
- English
- ISBNs:
- 9781420035001
1420035002 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.157633
- Ingest File:
- 02_127.xml