Santiago Vilar

Publication Activity (10 Years)

Years Active: 2002-2018
Publications (10 Years): 3

Top Topics

Heterogeneous Databases

Similarity Metrics

Top Venues

J. Am. Medical Informatics Assoc.

Briefings Bioinform.

J. Comput. Chem.

J. Cheminformatics

Publications

Santiago Vilar, Carol Friedman, George Hripcsak
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings Bioinform. 19 (5) (2018)
Santiago Vilar, George Hripcsak
The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions. Briefings Bioinform. 18 (4) (2017)
Santiago Vilar, George Hripcsak
Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations. J. Cheminformatics 8 (1) (2016)
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
Toward a complete dataset of drug-drug interaction information from publicly available sources. J. Biomed. Informatics 55 (2015)
Ying Li, Santiago Vilar, Ying Wei, Carol Friedman
Combining Heterogeneous Databases to Detect Adverse Drug Reaction. AMIA (2014)
Ying Li, Hojjat Salmasian, Santiago Vilar, Herbert S. Chase, Carol Friedman, Ying Wei
A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Rave Harpaz, Santiago Vilar, William DuMouchel, Hojjat Salmasian, Krystl Haerian, Nigam H. Shah, Herbert S. Chase, Carol Friedman
Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions. J. Am. Medical Informatics Assoc. 20 (3) (2013)
Santiago Vilar, Rave Harpaz, Eugenio Uriarte, Lourdes Santana, Raul Rabadan, Carol Friedman
Drug-drug interaction through molecular structure similarity analysis. J. Am. Medical Informatics Assoc. 19 (6) (2012)
Stefano Costanzi, Santiago Vilar
adrenergic receptor: Implications of inactive and activated state structures. J. Comput. Chem. 33 (5) (2012)
Santiago Vilar, Rave Harpaz, Herbert S. Chase, Stefano Costanzi, Raul Rabadan, Carol Friedman
Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis. J. Am. Medical Informatics Assoc. 18 (Supplement) (2011)
Santiago Vilar, Joel Karpiak, Stefano Costanzi
-adrenergic receptor. J. Comput. Chem. 31 (4) (2010)
Santiago Vilar, Humberto González Díaz, Lourdes Santana, Eugenio Uriarte
QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks. J. Comput. Chem. 29 (16) (2008)
Santiago Vilar, M. Carmen Villaverde, Fredy Sussman
Inhibitor docking screened by the modified SAFE_p scoring function: Application to cyclic urea HIV-1 PR inhibitors. J. Comput. Chem. 28 (13) (2007)
Santiago Vilar, Ernesto Estrada, Eugenio Uriarte, Lourdes Santana, Yaquelin Gutierrez
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. 45 (2) (2005)
Ernesto Estrada, Santiago Vilar, Eugenio Uriarte, Yaquelin Gutierrez
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. 42 (5) (2002)