LZerD Protein-Protein Docking Webserver Enhanced With de novo Structure Prediction

Author:

Christoffer Charles,Bharadwaj Vijay,Luu Ryan,Kihara Daisuke

Abstract

Protein-protein docking is a useful tool for modeling the structures of protein complexes that have yet to be experimentally determined. Understanding the structures of protein complexes is a key component for formulating hypotheses in biophysics regarding the functional mechanisms of complexes. Protein-protein docking is an established technique for cases where the structures of the subunits have been determined. While the number of known structures deposited in the Protein Data Bank is increasing, there are still many cases where the structures of individual proteins that users want to dock are not determined yet. Here, we have integrated the AttentiveDist method for protein structure prediction into our LZerD webserver for protein-protein docking, which enables users to simply submit protein sequences and obtain full-complex atomic models, without having to supply any structure themselves. We have further extended the LZerD docking interface with a symmetrical homodimer mode. The LZerD server is available at https://lzerd.kiharalab.org/.

Funder

National Institute of General Medical Sciences

Division of Molecular and Cellular Biosciences

Division of Mathematical Sciences

Division of Civil, Mechanical and Manufacturing Innovation

Division of Biological Infrastructure

Publisher

Frontiers Media SA

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Molecular Biology,Biochemistry

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