Santiago Vilar

15 papers Misc 1Journal 13
YearRankTypeTitle / Venue / Authors
2018 J jnl
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.
Briefings Bioinform.
Santiago Vilar, Carol Friedman, George Hripcsak
2017 J jnl
The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.
Briefings Bioinform.
Santiago Vilar, George Hripcsak
2016 J jnl
Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations.
J. Cheminformatics
Santiago Vilar, George Hripcsak
2015 J jnl
Toward a complete dataset of drug-drug interaction information from publicly available sources.
J. Biomed. Informatics
Serkan Ayvaz, John R. Horn, Oktie Hassanzadeh, Qian Zhu, Johann Stan, Nicholas P. Tatonetti, Santiago Vilar, Mathias Brochhausen, Matthias Samwald, Majid Rastegar-Mojarad, Michel Dumontier, Richard D. Boyce
2014 J jnl
A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records.
J. Am. Medical Informatics Assoc.
Ying Li, Hojjat Salmasian, Santiago Vilar, Herbert S. Chase, Carol Friedman, Ying Wei
2014 Misc conf
Combining Heterogeneous Databases to Detect Adverse Drug Reaction.
AMIA
Ying Li, Santiago Vilar, Ying Wei, Carol Friedman
2013 J jnl
Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.
J. Am. Medical Informatics Assoc.
Rave Harpaz, Santiago Vilar, William DuMouchel, Hojjat Salmasian, Krystl Haerian, Nigam H. Shah, Herbert S. Chase, Carol Friedman
2012 J jnl
Drug-drug interaction through molecular structure similarity analysis.
J. Am. Medical Informatics Assoc.
Santiago Vilar, Rave Harpaz, Eugenio Uriarte, Lourdes Santana, Raul Rabadan, Carol Friedman
2011 J jnl
Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis.
J. Am. Medical Informatics Assoc.
Santiago Vilar, Rave Harpaz, Herbert S. Chase, Stefano Costanzi, Raul Rabadan, Carol Friedman
2011 — ch.
Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks.
Towards an Information Theory of Complex Networks
Cristian R. Munteanu, Julián Dorado, Alejandro Pazos Sierra, Francisco J. Prado-Prado, L. G. Pérez-Montoto, Santiago Vilar, Florencio M. Ubeira, Angeles Sánchez-Gonzaléz, Maykel Cruz-Monteagudo, Sonia Arrasate, Nuria Sotomayor, Esther Lete, Aliuska Duardo-Sánchez, Antonio Díaz-López, Grace Patlewicz, Humberto González Díaz
2010 J jnl
Ligand and structure-based models for the prediction of ligand-receptor affinities and virtual screenings: Development and application to the beta
J. Comput. Chem.
Santiago Vilar, Joel Karpiak, Stefano Costanzi
2008 J jnl
QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks.
J. Comput. Chem.
Santiago Vilar, Humberto González Díaz, Lourdes Santana, Eugenio Uriarte
2007 J jnl
Inhibitor docking screened by the modified SAFE_p scoring function: Application to cyclic urea HIV-1 PR inhibitors.
J. Comput. Chem.
Santiago Vilar, M. Carmen Villaverde, Fredy Sussman
2005 J jnl
In Silico Studies toward the Discovery of New Anti-HIV Nucleoside Compounds through the Use of TOPS-MODE and 2D/3D Connectivity Indices. 2. Purine Derivatives.
J. Chem. Inf. Model.
Santiago Vilar, Ernesto Estrada, Eugenio Uriarte, Lourdes Santana, Yaquelin Gutierrez
2002 J jnl
In Silico Studies toward the Discovery of New Anti-HIV Nucleoside Compounds with the Use of TOPS-MODE and 2D/3D Connectivity Indices, 1. Pyrimidyl Derivatives.
J. Chem. Inf. Comput. Sci.
Ernesto Estrada, Santiago Vilar, Eugenio Uriarte, Yaquelin Gutierrez