Protein Structure Prediction

Softcover Nachdruck of the original 3rd Auflage 2014
ISBN: 978-1-4939-4461-3
Verlag: Springer

Buch, Englisch, Band 1137, 253 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 5091 g

Reihe: Methods in Molecular Biology

Protein Structure Prediction, Third Edition expands on previous editions by focusing on software and web servers. With new chapters that provide instructions on how to use a computational method with examples of prediction by the method. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Protein Structure Prediction, Third Edition provides diverse methods detailing the expansion of the computational protein structure prediction field.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kihara, Daisuke

Fachgebiete

• Naturwissenschaften Biowissenschaften Proteinforschung
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik

Inhaltsverzeichnis

Protein Structure Modeling with MODELLER.- RaptorX Server: A Resource for Template-based Protein Structure Modeling.- The MULTICOM Protein Tertiary Structure Prediction System.- Modeling of Protein Side-chain Conformations with RASP.- Direct Coupling Analysis for Protein Contact Prediction.- ITScorePro – An efficient Scoring Program for Evaluating the Energy Scores of Protein Structures for Structure Prediction.- Assessing the Quality of Modelled 3D Protein Structures using the ModFOLD Server.- 3D-SURFER 2.0: Web Platform for Real-Time Search and Characterization of Protein Surfaces.- SPOT-Seq-RNA: Predicting Protein-RNA Complex Structure and RNA-binding Function by Fold Recognition and Binding Affinity Prediction.- POODLE: Tools Predicting Intrinsically Disordered Regions of Amino Acid Sequence.- Prediction of Intrinsic Disorder in Proteins using MFDp2.- Modeling Protein-protein Complexes using the HADDOCK Webserver.- Predicting the Structure of Protein-protein Complexes using the SwarmDock Web Server.- DOCK/PIERR : Web Server for Structure Prediction of  Protein--Protein Complexes.- Pairwise and Multimeric Protein-Protein Docking Using the LZerD Program Suite.- Protocols for Efficient Simulations of Long Time Protein Dynamics using Coarse-grained CABS Model.