CompBio » SAAMBE-MEM

About SAAMBE-MEM

SAAMBE-MEM is a sequence based machine learning method for predicting the binding free energy change in membrane protein-protein complexes upon mutation. This method uses experimental binding affinities due to mutation in membrane proteins compiled in MPAD database. The present method uses evolutionary features of the involved protein sequences, and an XGBoost regression model is trained to make the predictions. The cleaned version of MPAD used in this work is available here.

Please see the publication for greater details and cite to acknowledge the use of SAAMBE-MEM in your work:

Rimal, P.; Panday, S.K.; Xu, W.; Peng, Y.; Alexov, E. SAAMBE-MEM: A Sequence-Based Method for Predicting Binding Free Energy Change upon Mutation in Membrane Protein-Protein Complexes. Bioinformatics 2024 https://doi.org/10.1093/bioinformatics/btae544

Single Mutation
Multiple Mutations

Binding Protein Sequence (A)

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Mutating Protein Sequence (B)

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Mutation Detail *

Position *

Wildtype residue *

Mutant residue *

Binding Protein Sequence (A)

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Mutating Protein Sequence (B)

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Or upload FASTA file

Mutation List File *

Upload a plain text file with one mutation per line. View example format

SAAMBE-MEM: A Sequence-Based Method for Predicting Binding Free Energy Change upon Mutation in Membrane Protein-Protein Complexes

Professor Emil Alexov Group