Biblio

High-Throughput Prediction of the Impact of Genetic Variability on Drug Sensitivity and Resistance Patterns for Clinically Relevant Epidermal Growth Factor Receptor Mutations from Atomistic Simulations, Suriñach, Aristarc, Hospital Adam, Westermaier Yvonne, Jordá Luis, Orozco-Ruiz Sergi, Beltrán Daniel, Colizzi Francesco, Andrio Pau, Soliva Robert, Municoy Martí, et al. , Journal of Chemical Information and Modeling, 12/2022, Volume In press, (2022)

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange, Evans, Matthew L., Bergsma Johan, Merkys Andrius, Andersen Casper W., Andersson Oskar B., Beltrán Daniel, Blokhin Evgeny, Boland Tara M., Balderas Rubén Castañeda, Choudhary Kamal, et al. , Digital Discovery, 04/2024, Volume 3, Issue 8, p.1509 - 1533, (2024)

A new paradigm for molecular dynamics databases: the COVID-19 database, the legacy of a titanic community effort, Beltrán, Daniel, Hospital Adam, Gelpí Josep Lluis, and Orozco Modesto , Nucleic Acids Res, 04/2024, Volume 52, Issue D1, p.D393 - D403, (2024)

The need to implement FAIR principles in biomolecular simulations, Amaro, Rommie E., Åqvist Johan, Bahar Ivet, Battistini Federica, Bellaiche Adam, Beltrán Daniel, Biggin Philip C., Bonomi Massimiliano, Bowman Gregory R., Bryce Richard A., et al. , Nature Methods, 04/2025, Volume 22, Issue 4, p.641 - 645, (2025)