Skip To Main Content
Bingwen Zhu on Muck Rack

Bingwen Zhu

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Bingwen

Contact Bingwen, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

A sequence-based deep learning framework (PepInter) for protein–peptide interaction representation learning with pretrained protein language models

|
By Xinke Zhan, Silong Zhai, Tiantao Liu, Shaolong Lin, Tao Bi, Shirley W. I. Siu, Bingwen Zhu
| Nature Verified
Abstract Protein-peptide Interactions play essential roles in diverse cellular processes, yet their systematic identification remains challenging due to the limited availability of experimentally annotated protein-peptide interaction data. To address this challenge, we present PepInter, a sequence-based Deep Learning framework that leverages large-scale pretraining on structurally derived pseudo protein-peptide pairs to learn interaction-relevant representations.
Open in Who Shared Issue with article?
See all 1 articles