Peptide–protein interface atlas
Large-scale structural characterization of peptide–protein complexes, with graph-based signatures to support peptide design.
Bioinformatics
Interdisciplinary science at the intersection of computation, biology, and systems thinking.
About us
We are a research group dedicated to developing computational methods to address challenges in the Life Sciences. We bring together researchers and students from diverse backgrounds in an interdisciplinary environment. Our research encompasses structural bioinformatics, artificial intelligence for the Life Sciences, molecular modeling, biomolecular interaction analysis, the design of bioactive peptides, and related fields. We combine scientific excellence, innovation, and collaboration to educate the next generation of researchers, develop computational tools, and create solutions with impact in healthcare, biotechnology, and the bioeconomy.
I want to join LBSWe are a research group dedicated to training high-performance researchers at the frontier of bioinformatics and computer science, hosted in the Department of Computer Science at UFMG.
Founded in 2003, LBS brings together specialists in computing and the biological sciences and has produced high-quality research ever since — pairing scientific rigor with tool-building and intense collaboration.
23
years of research
51
researchers & collaborators
17
tools & databases
Research & Projects
From molecular interfaces to AI for drug discovery — explore the projects that drive the lab.
View researchLarge-scale structural characterization of peptide–protein complexes, with graph-based signatures to support peptide design.
Organizing and analyzing RNA–protein interaction structures in a public database, opening the way to new discoveries.
Detecting, comparing, and optimizing contacts in protein structures and complexes, accelerating structural analysis.
News
From the lab to the world: publications, events, awards, and much more.
View all newsDefesa de Tese de Doutorado
Luana Luiza Bastos's Ph.D. defense marks a new research frontier at LBS, integrating RNA, Structural Bioinformatics, and Artificial Intelligence. The work resulted in RNApedia, a database containing more than 56,000 protein–RNA interactions, expanding opportunities for research and the development of AI models for the Life Sciences.
Read moreTools & Databases
Open tools and databases to advance education, research, and innovation.
Explore toolsA curated database of structural protein–RNA interactions.

A fast and scalable tool for detecting interatomic contacts in proteins.

Atlas of peptide–protein interactions featuring search, visualization, and structural clustering.

A web tool for modeling and analyzing the impact of mutations on protein interfaces.

Team
Researchers, students, and collaborators working together to advance science.
Meet the teamPublications
Research published in internationally recognized, high-impact journals.
View publications