Computational Peptidology by Peng Zhou, Jian Huang PDF

By Peng Zhou, Jian Huang

ISBN-10: 149392284X

ISBN-13: 9781493922840

ISBN-10: 1493922858

ISBN-13: 9781493922857

In this quantity specialist researchers aspect in silico tools familiar to review peptides. those contain tools and strategies masking the database, molecular docking, dynamics simulation, info mining, de novo layout and constitution modeling of peptides and protein fragments. Chapters specialize in integration and alertness of applied sciences to investigate, version, determine, expect, and layout a wide selection of bioactive peptides, peptide analogues and peptide medicinal drugs, in addition to peptide-based biomaterials. Written within the hugely winning Methods in Molecular Biology sequence layout, chapters contain introductions to their respective themes, lists of the mandatory fabrics and reagents, step by step, effectively reproducible laboratory protocols, and key pointers on troubleshooting and fending off identified pitfalls.

Authoritative and sensible, Computational Peptidology seeks to help scientists within the extra research into this newly emerging subfield.

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Fluorescence anisotropy signals, describing molecular reorientations, were simulated for aromatic peptides and their models [134], as well as for angiotensins [91]. Generally, simulations tend to overestimate the reorientation rates of solutes in water due to underestimation of viscosity by popular water models [91], while motions in ­nonaqueous solvents are in excellent agreement with observations [135, 136]. MD simulations of the YGGWL enkephalin peptide showed that while average calculated donor-acceptor distances were in excellent agreement with Förster Resonance Energy Transfer (FRET) data, the underlying distance distributions were very wide, reflecting a wide range of sampled conformers, with some dependence of sampled orientations on the distance [137].

J Chem Phys 134 67. Voter AF (1997) Hyperdynamics: accelerated molecular dynamics of infrequent events. Sinko W, de Oliveira CAF, Pierce LCT, McCammon JA (2012) Protecting high energy barriers: a new equation to regulate boost energy in accelerated molecular dynamics simulations. Pierce LCT, Salomon-Ferrer R, de Oliveira CAF, McCammon JA, Walker RC (2012) Routine access to millisecond time scale events with accelerated molecular dynamics. Wang Y, Markwick PRL, de Oliveira CAF, McCammon JA (2011) Enhanced lipid diffusion and mixing in accelerated molecular dynamics.

The outcome of an MD simulation is the trajectory—a record of positions (and possibly velocities) of all the atoms at a set of time points 0, Δt, 2Δt, …. This allows for a complete description of the system from the point of view of classical mechanics, including sampled structures and their populations, types of motions and their amplitudes and time scales, geometrical, energetic, thermodynamic, and kinetic description of the system. 2 Time Scales MD simulations involve three basic time scales: the integration time step Δt, the total simulation time tsim, and the time scale of the process of interest τr.

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