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[ Source: disulfinder  ]

Package: disulfinder (1.2.11-12)

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cysteines disulfide bonding state and connectivity predictor

'disulfinder' is for predicting the disulfide bonding state of cysteines and their disulfide connectivity starting from sequence alone. Disulfide bridges play a major role in the stabilization of the folding process for several proteins. Prediction of disulfide bridges from sequence alone is therefore useful for the study of structural and functional properties of specific proteins. In addition, knowledge about the disulfide bonding state of cysteines may help the experimental structure determination process and may be useful in other genomic annotation tasks.

'disulfinder' predicts disulfide patterns in two computational stages: (1) the disulfide bonding state of each cysteine is predicted by a BRNN-SVM binary classifier; (2) cysteines that are known to participate in the formation of bridges are paired by a Recursive Neural Network to obtain a connectivity pattern.

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 233.3 kB676.0 kB [list of files]
arm64 200.7 kB588.0 kB [list of files]
armel 185.2 kB567.0 kB [list of files]
armhf 190.6 kB411.0 kB [list of files]
i386 242.0 kB707.0 kB [list of files]
mips64el 203.5 kB744.0 kB [list of files]
mipsel 203.8 kB725.0 kB [list of files]
ppc64el 236.6 kB764.0 kB [list of files]
s390x 203.5 kB676.0 kB [list of files]