Artificial intelligence approaches to human-microbiome protein–protein interactions

Hansaim Lim, Fatma Cankara, Chung Jung Tsai, Ozlem Keskin, Ruth Nussinov, Attila Gursoy

Research output: Contribution to journalReview articlepeer-review

Abstract

Host-microbiome interactions play significant roles in human health and disease. Artificial intelligence approaches have been developed to better understand and predict the molecular interplay between the host and its microbiome. Here, we review recent advancements in computational methods to predict microbial effects on human cells with a special focus on protein–protein interactions. We categorize recent methods from traditional ones to more recent deep learning methods, followed by several challenges and potential solutions in structure-based approaches. This review serves as a brief guide to the current status and future directions in the field.

Original languageEnglish
Article number102328
JournalCurrent Opinion in Structural Biology
Volume73
DOIs
StatePublished - Apr 2022

Fingerprint

Dive into the research topics of 'Artificial intelligence approaches to human-microbiome protein–protein interactions'. Together they form a unique fingerprint.

Cite this