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

Amarda Shehu

Showing results (21-30 of 77) with videos related to

Pageof 8
Sort By:
International Journal of Molecular Sciences|April 27, 2024
Elucidating the Role of Wildtype and Variant FGFR2 Structural Dynamics in (Dys)Function and DisorderYiyang Lian, Dale Bodian, Amarda Shehu
Plos One|July 18, 2014
Effective automated feature construction and selection for classification of biological sequencesUday Kamath, Kenneth De Jong, Amarda Shehu
Current Opinion in Structural Biology|March 12, 2021
Editorial overview: Theory and simulation and their new friendsAmarda Shehu, David Van der Spoel
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 14, 2016
Structure-Guided Protein Transition Modeling with a Probabilistic Roadmap AlgorithmTatiana Maximova, Erion Plaku, Amarda Shehu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2017
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic ProgrammingDaniel Veltri, Uday Kamath, Amarda Shehu
Bioinformatics (Oxford, England)|March 29, 2018
Deep learning improves antimicrobial peptide recognitionDaniel Veltri, Uday Kamath, Amarda Shehu
Protein Science : a Publication of the Protein Society|February 22, 2008
Unfolding the fold of cyclic cysteine-rich peptidesAmarda Shehu, Lydia E Kavraki, Cecilia Clementi
Journal of Bioinformatics and Computational Biology|February 6, 2020
From molecular energy landscapes to equilibrium dynamics via landscape analysis and markov state modelsKazi Lutful Kabir, Nasrin Akhter, Amarda Shehu
Biophysical Journal|December 13, 2006
On the characterization of protein native state ensemblesAmarda Shehu, Lydia E Kavraki, Cecilia Clementi
BMC Bioinformatics|June 7, 2019
Attenuating dependence on structural data in computing protein energy landscapesDavid Morris, Tatiana Maximova, Erion Plaku, et al.
Pageof 8

Showing results (21-30 of 77) with videos related to

Sort By:
Pageof 8
International Journal of Molecular Sciences|April 27, 2024
Elucidating the Role of Wildtype and Variant FGFR2 Structural Dynamics in (Dys)Function and DisorderYiyang Lian, Dale Bodian, Amarda Shehu
Plos One|July 18, 2014
Effective automated feature construction and selection for classification of biological sequencesUday Kamath, Kenneth De Jong, Amarda Shehu
Current Opinion in Structural Biology|March 12, 2021
Editorial overview: Theory and simulation and their new friendsAmarda Shehu, David Van der Spoel
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 14, 2016
Structure-Guided Protein Transition Modeling with a Probabilistic Roadmap AlgorithmTatiana Maximova, Erion Plaku, Amarda Shehu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2017
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic ProgrammingDaniel Veltri, Uday Kamath, Amarda Shehu
Bioinformatics (Oxford, England)|March 29, 2018
Deep learning improves antimicrobial peptide recognitionDaniel Veltri, Uday Kamath, Amarda Shehu
Protein Science : a Publication of the Protein Society|February 22, 2008
Unfolding the fold of cyclic cysteine-rich peptidesAmarda Shehu, Lydia E Kavraki, Cecilia Clementi
Journal of Bioinformatics and Computational Biology|February 6, 2020
From molecular energy landscapes to equilibrium dynamics via landscape analysis and markov state modelsKazi Lutful Kabir, Nasrin Akhter, Amarda Shehu
Biophysical Journal|December 13, 2006
On the characterization of protein native state ensemblesAmarda Shehu, Lydia E Kavraki, Cecilia Clementi
BMC Bioinformatics|June 7, 2019
Attenuating dependence on structural data in computing protein energy landscapesDavid Morris, Tatiana Maximova, Erion Plaku, et al.
Pageof 8