Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Reinaldo Molina

Showing results (1-10 of 31) with videos related to

Pageof 4
Sort By:
FEBS Letters|August 6, 2005
Recognition of stable protein mutants with 3D stochastic average electrostatic potentialsHumberto González-Díaz, Reinaldo Molina, Eugenio Uriarte
Bioorganic & Medicinal Chemistry Letters|August 25, 2004
Markov entropy backbone electrostatic descriptors for predicting proteins biological activityHumberto González-Díaz, Reinaldo Molina, Eugenio Uriarte
Bioinformatics (Oxford, England)|November 5, 2003
Markovian negentropies in bioinformatics. 1. A picture of footprints after the interaction of the HIV-1 Psi-RNA packaging region with drugsHumberto González Díaz, Ronal Ramos de Armas, Reinaldo Molina
Bulletin of Mathematical Biology|November 11, 2003
Vibrational Markovian modelling of footprints after the interaction of antibiotics with the packaging region of HIV type 1Humberto González Díaz, Ronal Ramos de Armas, Reinaldo Molina
Biopolymers|February 1, 2005
Stochastic-based descriptors studying biopolymers biological properties: extended MARCH-INSIDE methodology describing antibacterial activity of lactoferricin derivativesRonal Ramos de Armas, Humberto González Díaz, Reinaldo Molina, et al.
Proteins|July 29, 2004
Markovian Backbone Negentropies: Molecular descriptors for protein research. I. Predicting protein stability in Arc repressor mutantsRonal Ramos de Armas, Humberto González Díaz, Reinaldo Molina, et al.
Journal of Proteome Research|February 3, 2007
A model for the recognition of protein kinases based on the entropy of 3D van der Waals interactionsHumberto Gonzalez-Díaz, Liane Saiz-Urra, Reinaldo Molina, et al.
Bioorganic & Medicinal Chemistry|February 5, 2004
A novel approach to predict a toxicological property of aromatic compounds in the Tetrahymena pyriformisMaykel Pérez González, Humberto González Díaz, Miguel Angel Cabrera, et al.
Bioorganic & Medicinal Chemistry|January 27, 2005
Predicting multiple drugs side effects with a general drug-target interaction thermodynamic Markov modelHumberto González-Díaz, Maykel Cruz-Monteagudo, Reinaldo Molina, et al.
BMC Bioinformatics|May 5, 2018
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiersDeborah Galpert, Alberto Fernández, Francisco Herrera, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
FEBS Letters|August 6, 2005
Recognition of stable protein mutants with 3D stochastic average electrostatic potentialsHumberto González-Díaz, Reinaldo Molina, Eugenio Uriarte
Bioorganic & Medicinal Chemistry Letters|August 25, 2004
Markov entropy backbone electrostatic descriptors for predicting proteins biological activityHumberto González-Díaz, Reinaldo Molina, Eugenio Uriarte
Bioinformatics (Oxford, England)|November 5, 2003
Markovian negentropies in bioinformatics. 1. A picture of footprints after the interaction of the HIV-1 Psi-RNA packaging region with drugsHumberto González Díaz, Ronal Ramos de Armas, Reinaldo Molina
Bulletin of Mathematical Biology|November 11, 2003
Vibrational Markovian modelling of footprints after the interaction of antibiotics with the packaging region of HIV type 1Humberto González Díaz, Ronal Ramos de Armas, Reinaldo Molina
Biopolymers|February 1, 2005
Stochastic-based descriptors studying biopolymers biological properties: extended MARCH-INSIDE methodology describing antibacterial activity of lactoferricin derivativesRonal Ramos de Armas, Humberto González Díaz, Reinaldo Molina, et al.
Proteins|July 29, 2004
Markovian Backbone Negentropies: Molecular descriptors for protein research. I. Predicting protein stability in Arc repressor mutantsRonal Ramos de Armas, Humberto González Díaz, Reinaldo Molina, et al.
Journal of Proteome Research|February 3, 2007
A model for the recognition of protein kinases based on the entropy of 3D van der Waals interactionsHumberto Gonzalez-Díaz, Liane Saiz-Urra, Reinaldo Molina, et al.
Bioorganic & Medicinal Chemistry|February 5, 2004
A novel approach to predict a toxicological property of aromatic compounds in the Tetrahymena pyriformisMaykel Pérez González, Humberto González Díaz, Miguel Angel Cabrera, et al.
Bioorganic & Medicinal Chemistry|January 27, 2005
Predicting multiple drugs side effects with a general drug-target interaction thermodynamic Markov modelHumberto González-Díaz, Maykel Cruz-Monteagudo, Reinaldo Molina, et al.
BMC Bioinformatics|May 5, 2018
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiersDeborah Galpert, Alberto Fernández, Francisco Herrera, et al.
Pageof 4