"Main Menu" for 2010 Smooth Backbone-Dependent Rotamer Library

>>"Main Menu" for 2010 Smooth Backbone-Dependent Rotamer Library

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Libraries:

Rotamer

RotLibr Dataset

Rama(φ,ψ)

Peptide ω(φ,ψ)

Backbone

Software:

Scwrl4

BioAssembMod

Pisces

BioDownloader

ProtCID

ArboDraw

Seq2Coord

News:

SecNet nnet

β turns & Lib

Antibody DB

PyIgClassify

PyRosetta

Registered 2010 library users: 813

The 2010 Library License is here.
As of July 25, 2019, it is based on a Creative Commons CC BY 4.0 license. The license for the 2010 backbone-dependent rotamer library is now less restrictive than it was previously. It is the same for both academia and industry: The library is free, redistributable, and modifiable as long as you acknowledge the source of the library. See details in the link.

High-quality Images / Movies for all amino acids

Tutorial (Basics, Features, Usage, Recommendations and File Formats)

Conformational Analysis of Protein side chains

Example of Download Page

News: Dataset used to generate the 2010 Rotamet Library
<φ, ψ, ω, χ1, χ2, χ3, χ4, entry, chain, electron density and many others>

"Smooth surfaces for protein side chains"

A component of a new backbone-dependent rotamer library is shown. The probability of the trans rotamer of valine is plotted as a function of the backbone dihedrals φ and ψ. The residues in the alpha-helix, parallel beta-sheet and left-handed helix regions are depicted as a snowboarder, a skier and a luger respectively. Their heads are the side-chain C_β atoms. The arms have the same trans-rotamer side-chain conformation while their legs have different backbone conformations in accordance with the residue locations on the Ramachandran map. The heights of the hills are proportional to the backbone-dependent probability of the <trans> rotamer, relative to the <g+> and <g-> rotamers.

Please cite this paper when publishing results based on our library:

Shapovalov, M.S., and Dunbrack, R.L., Jr. (2011). A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions. Structure, 19, 844-858.

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This page was last modified on Monday, February 22, 2021