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

Martin A Ott

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
BMC Bioinformatics|November 30, 2006
Correcting ligands, metabolites, and pathwaysMartin A Ott, Gert Vriend
Journal of Chemical Information and Modeling|September 23, 2020
Machine Learning Predicts Degree of Aromaticity from Structural FingerprintsDavid J Ponting, Ruud van Deursen, Martin A Ott
Molecular Pharmaceutics|July 5, 2013
An expert system to predict the forced degradation of organic moleculesAlexis D C Parenty, William G Button, Martin A Ott
Molecular Pharmaceutics|November 4, 2014
In silico prediction of pharmaceutical degradation pathways: a benchmarking studyMark H Kleinman, Steven W Baertschi, Karen M Alsante, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|November 30, 2006
Correcting ligands, metabolites, and pathwaysMartin A Ott, Gert Vriend
Journal of Chemical Information and Modeling|September 23, 2020
Machine Learning Predicts Degree of Aromaticity from Structural FingerprintsDavid J Ponting, Ruud van Deursen, Martin A Ott
Molecular Pharmaceutics|July 5, 2013
An expert system to predict the forced degradation of organic moleculesAlexis D C Parenty, William G Button, Martin A Ott
Molecular Pharmaceutics|November 4, 2014
In silico prediction of pharmaceutical degradation pathways: a benchmarking studyMark H Kleinman, Steven W Baertschi, Karen M Alsante, et al.
Pageof 1