Paratome 1.0 – Identification of Antigen Binding Regions

Paratome 1.0

:: DESCRIPTION

Paratome is an automated tool for the identification of Antigen Binding Regions (ABRs).

::DEVELOPER

Yanay Ofran’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Paratome

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2012 Jul;40(Web Server issue):W521-4. doi: 10.1093/nar/gks480. Epub 2012 Jun 6.
Paratome: an online tool for systematic identification of antigen-binding regions in antibodies based on sequence or structure.
Kunik V1, Ashkenazi S, Ofran Y.

DisoRDPbind – Prediction of RNA, DNA and Protein Binding Regions

DisoRDPbind

:: DESCRIPTION

DisoRDPbind predicts the RNA-, DNA-, and protein-binding residues located in the intrinsically disordered regions.

::DEVELOPER

Kurgan Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder.
Peng Z, Kurgan L.
Nucleic Acids Res. 2015 Oct 15;43(18):e121. doi: 10.1093/nar/gkv585.

ProPred1 / ProPred – Predict MHC Class-I / Class-II Binding Regions in Antigen Sequence

ProPred1 / ProPred

:: DESCRIPTION

The ProPred-I is an on-line service for identifying the MHC Class-I binding regions in antigens. It implements matrices for 47 MHC Class-I alleles, proteasomal and immunoproteasomal models. The main aim of this server is to help users in identifying the promiscuous regions.

The ProPred is an on-line service for identifying the MHC Class-II binding regions in antigens.

::DEVELOPER

ProPred1 / ProPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Singh, H. and Raghava, G. P. S. (2003)
ProPred1: Prediction of promiscuous MHC class-I binding sites
Bioinformatics. 2003 May 22;19(8):1009-14.

Singh,H. and Raghava,G.P.S.(2001)
ProPred: Prediction of HLA-DR binding sites.
Bioinformatics,17(12), 1236-37.

Anchor – Predict Binding Regions in Proteins

Anchor

:: DESCRIPTION

ANCHOR aims to predict binding regions in proteins that are disordered in isolation but can undergo a disorder-to-order transition upon binding to a structured protein partner.  The approach is based on the energy estimation method and it uses a single amino acid sequence as an input.

DEVELOPER

Institute of Enzymology,the Biological Research Center of the Hungarian Academy of Sciences.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 Anchor

:: MORE INFORMATION

Citation:

Zsuzsanna Dosztányi, Bálint Mészáros and István Simon (2009)
ANCHOR: web server for predicting protein binding regions in disordered proteins
Bioinformatics 25(20): 2745-2746.