Variant effects on protein-protein interactions: methods, models and diseases
Sven Larsen-Ledet, Aleksandra Panfilova, Amelie Stein

TL;DR
This paper reviews recent experimental and computational methods for assessing how genetic variants affect protein-protein interactions, highlighting challenges and potential for therapeutic insights.
Contribution
It provides a comprehensive overview of current techniques and challenges in studying variant effects on protein interactions, integrating structural and functional perspectives.
Findings
Summarizes recent experimental techniques
Discusses computational models and limitations
Highlights future challenges in the field
Abstract
Advances in sequencing have revealed that each individual carries about 10,000 missense variants. For the vast majority, we do not know what the functional consequences - if any - will be. Further, mechanistic insight, such as structural details, would be immensely helpful in development of therapeutic approaches. Here we review recent developments in experimental and computational techniques aimed to assess the impact of variants on protein-protein interactions, including limitations and upcoming challenges.
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Taxonomy
TopicsBioinformatics and Genomic Networks · Advanced Proteomics Techniques and Applications · Viral Infectious Diseases and Gene Expression in Insects
