Alberto J. Martín, PhD.

Principal Investigator and Assistant Professor

Network Biology Laboratory

PhD in Computer Science, University College Dublin, Ireland.

Líneas de Investigación

  • Development and application of computational methods for the inference, analysis and simulation of biological networks.

Network Biology Laboratory

The group focuses on the development of computational methods for the representation of biological data in the form of networks, the analysis of such networks and the automatic generation of new knowledge from them. The group follows several research lines, among these the most relevant ones are the determination of of gene regulation in diverse conditions from predicted information and the integration of “omics” data, the prediction of functional characteristics of biological sequences and the representation of any type of biological data as a graph. To carry out these research lines, we employ machine learning, clustering and optimization algorithms and the integration of existing tools to produce protocols that generate networks of relevant biological systems in an automated fashion.


Alberto J. Martin is part of the Center for Genomics and Bioinformatics and is Assistant Professor at the Universidad Mayor since 2017. He received his Bachelor’s degree in Biology from Universidad Autónoma de Madrid, Spain (2003), a Ms.C in Bioinformatics and Computational Biology from Universidad Complutense de Madrid, Spain (2005) and his PhD in Computer Sciences from University College Dublin, Ireland (2010). He did his first postdoc in de department of Biology of the University of Padua, Italy (2010-2013) and then moved to Chile, where he worked in the Computational Biology Lab at Fundación Ciencia &Vida for almost four years.

Selected publications

N.Santander, C. Lizama, L. Murgas, S. Contreras, A.J.M. Martin, P. Molina, A. Quiroz, K. Rivera, F. Salas-Pérez, A. Godoy, A. Rigotti and D. Busso * “Transcriptional profiling of embryos lacking the lipoprotein receptor SR-B1 reveals a regulatory circuit governing a neurodevelopmental or metabolic decision during neural tube closure”. BMC Genomics 19:731, 2018.
A.J.M. Martin*, S. Contreras-Riquelme, C. Dominguez, T. Perez-Acle ,“LoTo: A Graphlet based method for the comparison of local topology between gene regulatory networks”. PeerJ 5:e3052, 2017.
A.A. Vargas, B.A. Cisterna, F. Saavedra-Leiva, C. Urrutia, L.A. Cea, A. Vielma, S.E. Gutierrez-Maldonado, A.J.M. Martin, C. Pareja-Barrueto, Y. Escalona, O. Schmachtenberg, C.F. Lagos, T. Perez-Acle, J.C. Saez*. “On Biophysical Properties and Sensitivity to Gap Junction Blockers of Connexin 39 Hemichannels Expressed in HeLa Cells”. Frontiers in Physiology, 8:38, 2017.
A.J.M. Martin*, C. Dominguez, S. Contreras-Riquelme, D.S. Holmes and T. Perez-Acle*. “Graphlet Based Metrics for the Comparison of Gene Regulatory Networks” PLoS-ONE 11(10): e0163497, 2016.
S.Bhakat, S. Chetty A.J.M. Martin and M.E.S. Soliman*. “Multi-drug resistance profile of PR20 HIV-1 protease is attributed to distorted conformational and drug binding landscape: molecular dynamics insights” Journal of Biomolecular Structure and Dynamics, 34(1):135-51, 2016.
S.Bhakat, A.J.M. Martin and M.E.S. Soliman*. “An integrated molecular dynamics, principal component analysis and residue interaction network approach reveals the impact of M184V mutation on HIV reverse transcriptase resistance to lamivudine”. Mol. BioSyst., 10(8):2215-28, 2014.
M.Giollo, A.J.M. Martin, I. Walsh, C. Ferrari and S.C.E. Tosatto*. “NeEMO: A Method Using Residue Interaction Networks to Improve Prediction of Protein Stability upon Mutation”. BMC Genomics, 15(Suppl 4):S7, 2014.
A.J.M. Martin, I. Walsh, T. Di Domenico, I. Micetic and S.C.E. Tosatto*. “PANADA: Protein Association Network Annotation, Determination and Analysis” PLoS One, 8(11): e78383, 2013.



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