Membrane contact probability (MCP) prediction

Introduction

This web server is for prediction of the membrane contact probability (MCP), the likelihood of the amino acids of a given sequence being in direct contact with the acyl chains of lipid molecules with a combination of deep convolutional and recurrent neural network (DCRNN).

The training dataset for the MCP model is extracted from MemProtMD, a database generated from molecular dynamics simulations.

Submit

Query protein sequence.

Results

The figure of MCP prediction results (.png)

The value of MCP shown on the protein sequence (.pdf)

The detailed MCP prediction results (.csv)

Code and data

https://github.com/computbiophys

Contact

Feel free to contact us if you have any question. Thank you for using MCP predictor.

Email: wanglei_cqb@pku.edu.cn

Song Group website

Reference

Wang, L.; Zhang, J.; Wang, D.; Song, C.* Membrane Contact Probability: An Essential and Predictive Character for the Structural and Functional Studies of Membrane Proteins. PLoS Comput. Biol. 2022, 18, e1009972. Link