DisoLipPred - Disordred Lipid binding Predictor

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DisoLipPred webserver

The server is designed for the prediction of disordered lipid binding regions(DLBR). The server generates numeric score for each residue in the input protein sequence that quantifies putative propensity to being inside a DLBR. Larger value of propensity denotes higher likelihood to being inside DLBR. It also provides putative binary annotations (a given residue is predicted either being inside of a DLBR or not being inside of a DLBR).

Help

DisoLipPred accepts upto 2 protein sequences. The user should submit the protein sequence(s) in FASTA format.

The format of the input file is as follows: (Here is an example of input file )

• Line1: >protein ID
• Line2: protein sequence (1-letter amino acid encoding)

DisoLipPred normally takes around three minutes to predict a protein sequence with an approximate size of 200 AAs

Datasets

• All dataset
• Lipid dataset
• Test dataset
• Test dataset predictions
• Saccharomyces cerevisiae predictions

References

Upon the usage the users are requested to use the following citation:

• KATUWAWALA A, ZHAO B, Kurgan L, 2022. DisoLipPred: Accurate Prediction of Disordered Lipid Binding Residues in Protein Sequences with Deep Recurrent Networks and Transfer Learning. Bioinformatics, 38(1):115�124

Acknowledgments

We acknowledge with thanks the following software used as a part of this server:

• AsAquick - Prediction of solvent accesibility
• SPOT-Disorder - Prediction of intrinsic disorder
• PSIPRED - Prediction of secondary structure
• ANCHOR - Prediction of disordered protein binding regions
• AAindex - Amino acid indices database