iSNO-PseAAC – Predict Cysteine S-nitrosylation sites in proteins

iSNO-PseAAC

:: DESCRIPTION

iSNO-PseAAC is a new predictor which was developed for identifying the SNO sites in proteins by incorporating the position-specific amino acid propensity (PSAAP) into the general form of pseudo amino acid composition (PseAAC).

::DEVELOPER

Yan Xu

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation:

PLoS One. 2013;8(2):e55844. doi: 10.1371/journal.pone.0055844. Epub 2013 Feb 7.
iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition.
Xu Y1, Ding J, Wu LY, Chou KC.

iSNO-AAPair – Predicting the Cysteine S-nitrosylation Sites in proteins

iSNO-AAPair

:: DESCRIPTION

iSNO-AAPair is a new predictor which was developed by taking into account the coupling effects for all the pairs formed by the nearest residues and the pairs by the next nearest residues along protein chains.

::DEVELOPER

Yan Xu

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation:

PeerJ. 2013 Oct 3;1:e171. doi: 10.7717/peerj.171. eCollection 2013.
iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins.
Xu Y1, Shao XJ, Wu LY, Deng NY, Chou KC.

DiANNA 1.1 – Cysteine state and Disulfide Bond partner prediction

DiANNA 1.1

:: DESCRIPTION

DiANNA (DiAminoacid Neural Network Application) is a software to predict both cysteine oxidation state and which half-cystines partner with which other half-cystines in disulfide bonds.

::DEVELOPER

Clote Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux / Mac OsX / Windows
WebServer
Python

:: DOWNLOAD

DiANNA

:: MORE INFORMATION

Citation:

F. Ferre, P. Clote,
DiANNA 1.1: An extension of the DiANNA web server for ternary cysteine classification,
Nucleic Acids Res. 34(Web Server issue):W182-5 (2006).