3DLigandSite – Ligand Binding Site Prediction Server

3DLigandSite

:: DESCRIPTION

3DLigandSite is a server that automates a successful manual method for the prediction of protein ligand binding residues in CASP8.

::DEVELOPER

Structural Bioinformatics Group, Imperial College

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Nucleic Acids Res. 2010 Jul;38(Web Server issue):W469-73. doi: 10.1093/nar/gkq406. Epub 2010 May 31.
3DLigandSite: predicting ligand-binding sites using similar structures.
Wass MN, Kelley LA, Sternberg MJ.

IntFOLD 5.0 – Integrated Protein Structure and Function Prediction Server

IntFOLD 5.0

:: DESCRIPTION

The IntFOLD server is a novel independent server that integrates several cutting edge methods for the prediction of structure and function from sequence.

::DEVELOPER

McGuffin Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

IntFOLD: an integrated server for modelling protein structures and functions from amino acid sequences.
McGuffin LJ, Atkins JD, Salehe BR, Shuid AN, Roche DB.
Nucleic Acids Res. 2015 Mar 27. pii: gkv236.

Nucleic Acids Res. 2011 Jul;39(Web Server issue):W171-6. doi: 10.1093/nar/gkr184. Epub 2011 Mar 31.
The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction.
Roche DB1, Buenavista MT, Tetchner SJ, McGuffin LJ.

Buenavista, M. T., Roche, D. B., & McGuffin, L. J. (2012)
Improvement of 3D protein models using multiple templates guided by single-template model quality assessment.
Bioinformatics, 28, 1851-1857

CellPPD-Mod – Modified Cell Penetrating Peptides Prediction Server

CellPPD-Mod

:: DESCRIPTION

CellPPD-Mod is an in silico method, which is developed to predict efficient modified cell penetrating peptides. This webserver has been designed to assist the scientific community to predict the cell penetrating potential of modified cell penetrating peptide having natural and chemically modified amino acid residues.

::DEVELOPER

CellPPD-Mod team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues.
Kumar V, Agrawal P, Kumar R, Bhalla S, Usmani SS, Varshney GC, Raghava GPS.
Front Microbiol. 2018 Apr 12;9:725. doi: 10.3389/fmicb.2018.00725.

EGPred – Eukaryotic Gene Prediction Server

EGPred

:: DESCRIPTION

 EGPred allows to predict gene (protein coding regions) in eukaryote genomes that includes introns and exons, using similarity aided (double) and consensus Ab Intion methods.

::DEVELOPER

EGPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Issac, B and Raghava, G P S (2004),
EGPred: Prediction of Eukaryotic Genes Using ab initio Methods After Combining With Sequence Similarity Approaches,
Genome Res 14, 1756-1766.

ABCpred – Artificial Neural Network based B-cell Epitope Prediction Server

ABCpred

:: DESCRIPTION

ABCpred server is to predict linear B cell epitope regions in an antigen sequence, using artificial neural network. This server will assist in locating epitope regions that are useful in selecting synthetic vaccine candidates, disease diagonosis and also in allergy research.

::DEVELOPER

ABCpred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Saha, S and Raghava G.P.S. (2006)
Prediction of Continuous B-cell Epitopes in an Antigen Using Recurrent Neural Network.
Proteins,65(1),40-48

nHLAPred – Neural Network based MHC Class-I Binding Peptide Prediction Server

nHLAPred

:: DESCRIPTION

nHLAPred allow to predict binding peptide for 67 MHC Class I alleles. This also allow to predict the proteasome cleavage site and binding peptide that have cleavage site at C terminus (potential T cell epitopes).

::DEVELOPER

nHLAPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin M. and Raghava G P S (2006)
A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes;
J. Biosci. 32:31-42.

VGIchan – Voltage Gated Ion Channel Prediction server

VGIchan

:: DESCRIPTION

The aim of VGIchan is to predict voltage gated ion-channels and classify them into sodium, potassium, calcium and chloride ion channels from primary amino sequences.

::DEVELOPER

VGIchan Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Saha, S., Zack, J., Singh, B. and Raghava, G. P. S. (2007)
VGIchan: Prediction and classification of voltage-gated ion channels.
Genomics Proteomics Bioinformatics. 2006 Nov;4(4):253-8.

BIPS – Predict putative protein-protein interactions based on Homology

BIPS

:: DESCRIPTION

 BIPS (Biana Interolog Prediction Server) can predict putative interactions between proteins based on homologs found in Protein-Protein interaction databases. BIPS relies on data integrated in BIANA. You just need to insert your sequences of interest or list of protein identifiers, and BIPS will infer interactions based on homology. Predicted partners can be restricted to proteins added in your list or to the complete BIANA database.

::DEVELOPER

Structural BioInformatics Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 No

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2012 Jul;40(Web Server issue):W147-51. Epub 2012 Jun 11.
BIPS: BIANA Interolog Prediction Server. A tool for protein-protein interaction inference.
Garcia-Garcia J, Schleker S, Klein-Seetharaman J, Oliva B.

PROTEUS 2.0 – Universal Protein Structure Prediction Server

PROTEUS 2.0

:: DESCRIPTION

PROTEUS is an universal protein structure prediction server that will take any query protein sequence and predict the secondary structure, membrane spanning helices, membrane spanning beta strands, signal peptides, and 3D structures.For water-soluble protein Proteus is able to achieve a very high level of accuracy (Q3=88%, SOV=90%). In the rare situation (20-30%) where a query protein shows no similarity whatsoever to any known structure, PROTEUS is still able to achieve a Q3 score of 79%. Proteus is not restricted to generating accurate secondary structures for water-soluble proteins, as it appears to perform well for integral membrane proteins (both helix-containing proteins and beta-sheet containing porins) that have remote homologues or a portion of a homologue in the PDB.

::DEVELOPER

Wishart Pharmaceutical Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 PROTEUS

:: MORE INFORMATION

Citation

Scott Montgomerie, Shan Sundararaj, Warren J Gallin and David S Wishar
Improving the accuracy of protein secondary structure prediction using structural alignment
BMC Bioinformatics 2006, 7:301

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