Prediction of Interactions between Cell Surface Proteins by Machine Learning.

ABSTRACT: Cells detect changes of external environments or communicate with each other through proteins on their surfaces. These cell surface proteins form a complicated network of interactions in order to fulfill their functions. The interactions between cell surface proteins are highly dynamic and thus challenging to detect using traditional experimental techniques. Here we tackle this challenge by a computational framework. The primary focus of the framework is to develop new tools to identify interactions between domains in immunoglobulin (Ig) fold, which is the most abundant domain family in cell surface proteins. These interactions could be formed between ligands and receptors from different cells, or between proteins on the same cell surface. In practice, we collected all structural data of I

SUBMITTER: Su Z 

PROVIDER: S-EPMC10515853 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature