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FG-MD logo

FG-MD is a molecular dynamics (MD) based algorithm for high-resolution protein structure refinement. Given an initial protein or protein complex 3D model (either in C-alpha or full-atom), FG-MD first identifies analogous fragments from the PDB by the structural alignment program TM-align. Spatial restraints extracted from the fragments are then used to guide the molecular dynamics simulations. In general, FG-MD aims to refine the initial models closer to the native structure. It also improves th

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Jpred3 logo

Jpred3 is a web applicaion that predicts secondary structure from a protein sequence.

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I-TASSER server is a web application for protein structure and function predictions. Models are built based on multiple-threading alignments by LOMETS and iterative TASSER simulations. I-TASSER (as 'Zhang-Server') was ranked as the No 1 server in recent CASP7 and CASP8 experiments. The server is in active development with the goal to provide accurate structural and function predictions using state-of-the-art algorithms. References: Ambrish Roy, Alper Kucukural, Yang Zhang. I-TASSER: a unified pl

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PSIPRED is a highly accurate method for protein secondary structure prediction, including MEMSAT - a transmembrane topology prediction method and GenTHREADER - a sequence profile based fold recognition method.

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QUARK logo

QUARK is a computer algorithm for ab initio protein folding and protein structure prediction, which aims to construct the correct protein 3D model from amino acid sequence only. QUARK models are built from a small fragments (1-20 residues long) by replica-exchange Monte Carlo simulation under the guide of an atomic-level knowledge-based force field. QUARK was ranked as the No 1 server in Free-modeling (FM) in CASP9. Since no global template information is used in QUARK simulation, the server is

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The Protein Model Portal logo

PMP gives access to various models computed by comparative modeling methods provided by different partner sites, and provides access to various interactive services for model building, and quality assessment.Protein Model Portal is a component of the Nature PSI Structural Biology Knowledgebase

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LOMETS (Local Meta-Threading-Server) is a locally installed meta-server for protein structure prediction. It generates 3D models by collecting consensus target-to-template alignments from 9 locally-installed threading programs (FUGUE, HHsearch, PAINT, PPA-I, PPA-II, PROSPECT2, SAM-T02, SPARKS, SP3). References: S. Wu, Y. Zhang. LOMETS: A local meta-threading-server for protein structure prediction. Nucleic Acids Research 2007; 35: 3375-3382

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MUSTER (MUlti-Sources ThreadER) is a new protein threading algorithm to identify the template structures from the PDB library. It generate sequence-template alignments by combining sequence profile-profile alignment with multiple structural information. References: S. Wu, Y. Zhang. MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information. Proteins: Structure, Function, and Bioinformatics 2008; 72: 547-556.

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SEGMER is a segmental threading algorithm designed to recoginzing substructure motifs from the Protein Data Bank (PDB) library. It first splits target sequences into segments which consists of 2-4 consecutive or non-consecutive secondary structure elements (alpha-helix, beta-strand). The sequence segments are then threaded through the PDB to identify conserved substructures. It often identifies better conserved structure motifs than the whole-chain threading methods, especially when there is no

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SVMSEQ is a new algorithm for protein residue-residue contact prediction using Support Vector Machines. References: S. Wu, Y. Zhang. A comprehensive assessment of sequence-based and template-based methods for protein contact prediction. Bioinformatics, vol 24, 924-931 (2008).

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ANGLOR is a machine-learning based algorithm for ab initio prediction of protein backbone torsion angles. For a given amino acid sequence, the real-value backbone torsion angles (phi and psi) for each residue are predicted by the combination of the neural network training and the support vector machine. References: S. Wu, Y. Zhang. ANGLOR: A Composite Machine-Learning Algorithm for Protein Backbone Torsion Angle Prediction. PLoS ONE 2008; 3: e3400.

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BSpred logo

BSpred is a neural network based algorithm for predicting binding site of proteins from amino acid sequences. The algorithm was extensively trained on the sequence-based features including protein sequence profile, secondary structure prediction, and hydrophobicity scales of amino acids. References: S Mukherjee, Y Zhang Protein-protein complex structure prediction by multimeric threading and template recombination. Structure, in press (2011).

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COTH logo

COTH (CO-THreader) is a multiple-chain protein threading algorithm to identify and recombine the protein complex structures from both tertiary and complex structure libraries. It first generates complex query-template alignments by sequence profile-profile alignment assisted by the ab initio binding-site predictions from BSpred. The monomer structures from tertiary template library are then combined into the complex framework by structure superposition.

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REMO logo

REMO is a new algorithm for constructing protein atomic structures from C-alpha traces by optimizing the backbone hydrogen-bonding networks. References: Yunqi Li and Yang Zhang. REMO: A new protocol to refine full atomic protein models from C-alpha traces by optimizing hydrogen-bonding networks. Proteins, 2009, 76: 665-676.

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BSP-SLIM is a blind molecular docking method on low-resolution protein structures. The method first identifies putative ligand binding sites by structurally matching the target to the template holo-structures. The ligand-protein docking conformation is then constructed by local shape and chemical feature complementarities between ligand and the negative image of binding pockets.

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EDTSurf logo

EDTSurf is a open source program to construct triangulated surfaces for macromolecules. It can generate three major macromolecular surfaces of van der Waals surface, solvent-accessible surface and molecular surface (solvent-excluded surface), and identify cavities which are inside of macromolecules.

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HAAD logo

HAAD is a computer algorithm for constructing hydrogen atoms from protein heavy-atom structures. The hydrgen is added by minimizing atomic overlap and encouraging hydrogen bonding. References: Yunqi Li, Roy Ambrish and Yang Zhang, HAAD: A Quick Algorithm for Accurate Prediction of Hydrogen Atoms in Protein Structures, PLoS One, 2009 4: e6701

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