Víctor Guallar Tasies

Víctor Guallar Tasies

Barcelona Supercomputing Center - Centro Nacional de Supercomputación

Life & Medical Sciences

Professor Guallar performed his undergraduate at the Autonomous University of Barcelona (Spain), with a major in Chemistry, followed by a joined PhD in physical chemistry at UC Berkeley and Autonomous University of Barcelona. Afterwards, he moved for a postdoctoral research position (2000-2003) to Columbia University in New York City. In 2003 he got a teanured position as an assistant Professor at the Biochemistry and Molecular Biophysics department at the School of Medicine in Washington University in St. Louis. In 2006 he was appointed ICREA Research Professor in the Life Science Department at the Barcelona Supercomputing Center (BSC), were he has been developing his research group. In 2016 he co-founded Nostrum Biodiscovery, the first spin-off from the BSC.
He is the recipient of numerous prestigious grants, such as an advanced ERC, having trained 25 PhD students and published more than 200 papers.

Research interests

In the EAPM lab at BSC we are devoted to the development and application of computational algorithms in molecular modeling. Using techniques such as Monte Carlo simulations, bioinformatics, machine learning and mixed quantum mechanics/molecular mechanics methods, we face different biophysical and biochemical challenges, including characterization, bioprospecting and engineering of enzymes for industrial and biomedical applications, along with software development for more efficient early stages of drug discovery and immunology. In 2025 particular interest has focused on: i) engineering novel bacteria for plastic degradation/recycling and cascade reactions, ii) developing a modeling platform for neoantigen selection and vaccine(s) design iii) developing and applying AI generative modelling for drug and protein de novo design, and iv) bioprospecting and engineering on several oxidases for industrial processes

Selected publications

- Diaz-Rovira AM, Lotze J, Hoffmann G, Pallara C, Molina A, Coburger I, Gloser-Bräunig M, Meysing M, Zwarg M, Díaz L, Guallar V, Bosse-Doenecke E & Roda S 2025, 'Efficient Design of Affilin® Protein Binders for HER3', International journal of molecular sciences, 26 - 10 - 4683.
- Xiang RT, Martínez-Sugranes M, Muñoz-Tafalla R, Floor M & Guallar V 2025, 'Computational Bioprospecting of Enzymes', Wiley interdisciplinary reviews-computational molecular science, 15 - 4 - e70037.
- Filella-Merce I, Molina A, Díaz L, Orzechowski M, Berchiche YA, Zhu YM, Vilalta-Mor J, Malo L, Yekkirala AS, Ray S & Guallar V 2025, 'Optimizing drug design by merging generative AI with a physics-based active learning framework', Communications chemistry, 8 - 1 - 238.
- Muñoz-Tafalla R, Cea-Rama I, Cervantes F, Gonzalez-Alfonso JL, Plou FJ, Polaina J, Sanz-Aparicio J, Ferrer M, Guallar V & Talens-Perales D 2025, 'Embedding a feruloyl esterase active site into a thermophilic endoxylanase scaffold for the degradation of feruloylated xylans', Computational and structural biotechnology journal, 27 - 3814 - 3823.
- Xiang RT, Domínguez-Dalmases C, Cañellas-Solé A & Guallar V 2025, 'aMLProt: an automated machine learning library for protein applications', Bioinformatics, 41 - 10 - btaf543.
- Farriol-Duran R, Domínguez-Dalmases C, Cañellas-Solé A, Vazquez M, Porta-Pardo E & Guallar V 2025, 'PredIG: an interpretable predictor of T-cell epitope immunogenicity', Genome medicine, 17 - 1 - 140.