SABIAM-Alvo-Net — South American Network for Bioinformatics, Artificial Intelligence and Modeling in Molecular Target Discovery and Biotechnological Innovation
We are an interdisciplinary, multi-institutional network that began in South America and has since expanded across Mexico, Canada, Portugal, and Morocco. Our main objective is to integrate strategies from several fields to discover novel molecular targets in multidrug-resistant (MDR) bacterial pathogens and parasites, addressing the challenge of antimicrobial resistance (AMR) in an innovative way.
Our Core Strategies:
- Bioinformatics – Advanced genomic and proteomic analysis.
- Artificial Intelligence (AI) – Predictive modeling for drug and target discovery.
- Molecular Modeling – Innovative algorithms for structure-based drug design.
- Mathematical Modeling – Novel matemathical modeling for environmental AMR surveillance.
- Biotechnology & Microbiology – Experimental validation and characterization.
Researchers
Students
Grants
Countries
News
Latest from our network
Science & Technology
LNCC Researchers Attend International Gr-ADI Consortium Meeting in Munich
Drs. Marisa Fabiana Nicolás and Laurent E. Dardenne represented LNCC at the Gr-ADI meeting in Germany, leveraging AI and computer platforms like Target-Pathogen and DockThor against antimicrobial resistance.
Scientific Events
XII Molecular Modeling School (EMMSB)
Applications are open for the XII EMMSB, taking place from August 24 to 28, 2026, in a hybrid format at LNCC.
Academic
LNCC Graduate Program Selection 2026
Applications are open for Master's and Doctoral programs in Computational Modeling. Concept 7 by CAPES.
Publications
Check out our latest scientific contributions
Genomics of Hospital-Associated Brazilian Multidrug-Resistant Klebsiella pneumoniae
Nicolás, Marisa Fabiana; et al.
DetailsStructure-based strategy reveals a novel ligand binding site in S. aureus
Farias, A. B., Sisco, M. C., et al.
DetailsDescription and complete genome sequence of Mycobacterium venezuelense sp. nov.
Sisco Zerpa, Maria Carolina Del Valle; et al.
Details