His research interest is the development of Computational Biology methods and their application to biomedical problems. Some of the computational methods he developed are considered pioneering work in areas such as biological text mining, protein coevolution, disease networks and more recently modelling cellular systems (digital twins). He participates in some of the key cancer related international consortia. In terms of community services, he is one of the initial promoters of the ELIXIR infrastructure, founder of the Spanish and International Bioinformatics networks and former president of ISCB, the international professional association of Bioinformaticians. He is Executive Editor of the main journal in the field (Bioinformatics OUP).
His research is focused on the study of biomedical systems with computational biology and bioinformatics approaches.[5]
The 1994 paper "Correlated mutations and residue contacts in proteins",[15] of which Valencia was senior author, established the idea that correlated mutations at corresponding locations in the DNA sequences in different organisms could indicate that those locations corresponded to amino-acid residues that were physically close to each other in the final protein, informing the prediction of contact maps. This previously unconsidered source of side information for protein structure prediction became used with increasing effectiveness in the 2010s, leading ultimately to the success of DeepMind's AlphaFold 2 algorithm in 2020.[16]
Research
In 1994 Valencia formed the Protein Design Group at the Spanish National Center for Biotechnology (CNB).[13] He was leader of the Structural and Computational Biology Group at CNIO.[13] In 2006 he moved to the Spanish National Cancer Research Center (CNIO) as Director of the Structural Biology and Biocomputing programme.
As computational biologist, the focus of his work is the mechanistic understanding of biological systems, including cancer and other diseases, with a combination of Bioinformatics, Network Biology and Machine Learning approaches. His group has developed systems in the areas of protein structure prediction, protein interactions and protein networks, systems biology, text and data mining, with applications in epigenetic, cancer genomics [20] and disease comorbidity. All these actives converge into the general topic of Personalised Medicine, with particular interest in the interface with Artificial intelligence and High Performance Computing.
Valencia has been nominated Corresponding Member of the Academy of Medicine of Zaragoza, Spain, in 2024. He was also appointed Research Professor at the CNB in 2005.[13] He was a founding member of the International Society for Computational Biology (ISCB) and was honoured as an ISCB Fellow in 2010.[46] Valencia has also served as ISCB Vice President and in 2013 was appointed President-elect.[11] From 2015 to 2018, he was President of the ISCB, succeeding Burkhard Rost. Valencia is Doctor Honoris cause of the Danish DTU and elected member of the European Molecular Biology Organization (EMBO).[47]
1 2 Valencia, A.; Chardin, P.; Wittinghofer, A.; Sander, C. (1991). "The ras protein family: Evolutionary tree and role of conserved amino acids". Biochemistry. 30 (19): 4637–4648. doi:10.1021/bi00233a001. PMID2029511. S2CID43450157.
↑ Pazos, F; Helmer-Citterich, M; Ausiello, G; Valencia, A (1997). "Correlated mutations contain information about protein-protein interaction". Journal of Molecular Biology. 271 (4): 511–23. CiteSeerX10.1.1.360.2386. doi:10.1006/jmbi.1997.1198. PMID9281423.
↑ Jensen, L. J.; Gupta, R; Blom, N; Devos, D; Tamames, J; Kesmir, C; Nielsen, H; Staerfeldt, H. H.; Rapacki, K; Workman, C; Andersen, C. A.; Knudsen, S; Krogh, A; Valencia, A; Brunak, S (2002). "Prediction of human protein function from post-translational modifications and localization features". Journal of Molecular Biology. 319 (5): 1257–65. CiteSeerX10.1.1.139.2639. doi:10.1016/S0022-2836(02)00379-0. PMID12079362.
↑ Olmea, O; Rost, B; Valencia, A (1999). "Effective use of sequence correlation and conservation in fold recognition". Journal of Molecular Biology. 293 (5): 1221–39. doi:10.1006/jmbi.1999.3208. PMID10547297. S2CID16167106.
↑ Quesada, V; Conde, L; Villamor, N; Ordóñez, G. R.; Jares, P; Bassaganyas, L; Ramsay, A. J.; Beà, S; Pinyol, M; Martínez-Trillos, A; López-Guerra, M; Colomer, D; Navarro, A; Baumann, T; Aymerich, M; Rozman, M; Delgado, J; Giné, E; Hernández, J. M.; González-Díaz, M; Puente, D. A.; Velasco, G; Freije, J. M.; Tubío, J. M.; Royo, R; Gelpí, J. L.; Orozco, M; Pisano, D. G.; Zamora, J; etal. (2011). "Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia". Nature Genetics. 44 (1): 47–52. doi:10.1038/ng.1032. hdl:10651/8189. PMID22158541. S2CID205343043.
1 2 Harrow, J; Frankish, A; Gonzalez, J. M.; Tapanari, E; Diekhans, M; Kokocinski, F; Aken, B. L.; Barrell, D; Zadissa, A; Searle, S; Barnes, I; Bignell, A; Boychenko, V; Hunt, T; Kay, M; Mukherjee, G; Rajan, J; Despacio-Reyes, G; Saunders, G; Steward, C; Harte, R; Lin, M; Howald, C; Tanzer, A; Derrien, T; Chrast, J; Walters, N; Balasubramanian, S; Pei, B; etal. (2012). "GENCODE: The reference human genome annotation for the ENCODE Project". Genome Research. 22 (9): 1760–74. doi:10.1101/gr.135350.111. PMC3431492. PMID22955987.
↑ Valencia, A; Pazos, F (2002). "Computational methods for the prediction of protein interactions". Current Opinion in Structural Biology. 12 (3): 368–73. doi:10.1016/s0959-440x(02)00333-0. PMID12127457.
↑ Blaschke, C; Andrade, M. A.; Ouzounis, C; Valencia, A (1999). "Automatic extraction of biological information from scientific text: Protein-protein interactions". Proceedings. International Conference on Intelligent Systems for Molecular Biology: 60–7. PMID10786287.
↑ "ISCB Fellows". www.iscb.org. International Society for Computational Biology. Archived from the original on 2015-03-28.
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