iATP – Identifying Anti-tubercular Peptides

iATP

:: DESCRIPTION

The web-server iATP was developed to identify the anti-tubercular peptides based on the sequence information.

::DEVELOPER

LinDing Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

iATP: A sequence based method for identifying anti-tubercular peptides
Chen W, Feng P, Nie F.
Med Chem. 2019 Oct 2. doi: 10.2174/1573406415666191002152441.

iACP – A sequence-based tool for Identifying Anticancer Peptides

iACP

:: DESCRIPTION

The web-server iACP was developed to identify the anticancer peptides based on the sequence information.

::DEVELOPER

LinDing Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

iACP: a sequence-based tool for identifying anticancer peptides.
Chen W, Ding H, Feng P, Lin H, Chou KC.
Oncotarget. 2016 Mar 1. doi: 10.18632/oncotarget.7815.

IL4pred – Designing and Disovering of Interleukin-4 inducing peptides

IL4pred

:: DESCRIPTION

IL4pred web server is developed for users working in the field of vaccine design. This server allows users to predict and design Interleukin-4 (IL4) inducing peptides.

::DEVELOPER

IL4pred team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Prediction of IL4 inducing peptides.
Dhanda SK, Gupta S, Vir P, Raghava GP.
Clin Dev Immunol. 2013;2013:263952. doi: 10.1155/2013/263952.

HLP – Predicting Half-life of Peptides in Intestine like Environment

HLP

:: DESCRIPTION

HLP is a server developed for predicting half-life of peptides in intestine like environment. It generates all possible mutants (single mutation at each position per cycle) for a peptide and predict/calculate half-life and physicochemical properties (e.g. charge, polarity, hydrophobicity, volume, pK) of mutant peptides.

::DEVELOPER

HLP team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Designing of peptides with desired half-life in intestine-like environment.
Sharma A, Singla D, Rashid M, Raghava GP.
BMC Bioinformatics. 2014 Aug 20;15:282. doi: 10.1186/1471-2105-15-282.

AHTpin – Predicting, Designing and Screening of AHT Peptides

AHTpin

:: DESCRIPTION

AHTpin is an in silico method developed to predict and design efficient antihypertensive peptides.

::DEVELOPER

AHTpin team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

An in silico platform for predicting, screening and designing of antihypertensive peptides.
Kumar R, Chaudhary K, Singh Chauhan J, Nagpal G, Kumar R, Sharma M, Raghava GP.
Sci Rep. 2015 Jul 27;5:12512. doi: 10.1038/srep12512.

PEPlife – Database of Half-life of Peptides

PEPlife

:: DESCRIPTION

PEPlife is a manually curated database of experimentally validated therapeutic peptides and their halflives. In this database, peptides have been collected from both published articles as well as from patents.Each entry provides comprehensive information about a peptide that includes its sequence, chemical modifications incorporated, biological activity possessed, its half-life, the assay used to determine its half-life etc.

::DEVELOPER

PEPlife team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PEPlife: A Repository of the Half-life of Peptides.
Mathur D, Prakash S, Anand P, Kaur H, Agrawal P, Mehta A, Kumar R, Singh S, Raghava GP.
Sci Rep. 2016 Nov 7;6:36617. doi: 10.1038/srep36617.

PlifePred – Design Half-life of Peptides in Blood

PlifePred

:: DESCRIPTION

PlifePred is prediction server for predicting the half-life of peptides in blood. Users can use PlifePred to increase or decrease the half-life of their peptide by generating mutants. The server facilitates designing the half-life of a peptide by generating its mutants and predicting their half-life and physiochemical properties.The user can screen and select the peptide with suitable properties desired.

::DEVELOPER

PlifePred team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

In silico approaches for predicting the half-life of natural and modified peptides in blood.
Mathur D, Singh S, Mehta A, Agrawal P, Raghava GPS.
PLoS One. 2018 Jun 1;13(6):e0196829. doi: 10.1371/journal.pone.0196829.

PEPstrMOD – Peptide Tertiary Structure Prediction with Natural, Non-natural Modified Residues

PEPstrMOD

:: DESCRIPTION

The PEPstrMOD server predicts the tertiary structure of small peptides with sequence length varying between 7 to 25 residues. It also handles peptides having various modifications like non-natural residues, terminal modifications (Acetylation/Amidation), Cyclization (N-C, disulfide bridges), conversion of L- to D- amino acids, post translational modifications, etc. The prediction strategy is based on the realization that β-turn is an important and consistent feature of small peptides in addition to regular structures. Thus, the method uses both the regular secondary structure information predicted from PSIPRED and β-turns information predicted from BetaTurns. The structure is further refined with energy minimization and molecular dynamic simulations.

::DEVELOPER

PEPstrMOD Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Kaur, H., Garg, A. and Raghava, G. P. S. (2007)
PEPstr: A de novo method for tertiary structure prediction of small bioactive peptides.
Protein Pept Lett. 14:626-30.

PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues.
Singh S, Singh H, Tuknait A, Chaudhary K, Singh B, Kumaran S, Raghava GP.
Biol Direct. 2015 Dec 21;10:73. doi: 10.1186/s13062-015-0103-4.

TAPPred – Predict Peptide TAP Binding Affinity

TAPPred

:: DESCRIPTION

 TAPPred is an on-line service for predicting binding affinity of peptides toward the TAP transporter. The Prediction is based on cascade SVM, using sequence and properties of the the amino acids

::DEVELOPER

TAPPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin,M. and Raghava, G.P.S. (2004)
Analysis and prediction of affinity of TAP binding peptides using cascade SVM.
Protein Sci.,13 (3),596-607.

HLADR4Pred – SVM and ANN based HLA-DR Bininding Peptide Prediction

HLADR4Pred

:: DESCRIPTION

The HLA-DR4Pred is an SVM and ANN based HLA-DRB1*0401(MHC class II alleles) binding peptides prediction method. The accuracy of the SVM and ANN based methods is ~86% and ~78% respectively.The performence of the methods was tested through 5 set cross-validation. The training of SVM and ANN was done by using the freely availaible SVM_LIGHT and SNNS packages respectively. The data for training of neural network and SVM model has been extracted from MHCBN database.This method will be useful in cellular immunology, Vaccine design, immunodiagnostics, immunotherapeuatics and molecular understanding of autoimmune susceptibility.

::DEVELOPER

HLADR4Pred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin M, Raghava GPS (2004).
SVM based method for predicting HLA-DRB1 binding peptides in an antigen sequence.
Bioinformatics 20(3): 421-3