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Marta Filizola

Showing results (1-10 of 117) with videos related to

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Life Sciences|May 26, 2009
Increasingly accurate dynamic molecular models of G-protein coupled receptor oligomers: Panacea or Pandora's box for novel drug discovery?Marta Filizola
Neuroscience Letters|February 22, 2018
Insights from molecular dynamics simulations to exploit new trends for the development of improved opioid drugsMarta Filizola
Journal of Computer-Aided Molecular Design|June 20, 2006
TRAJELIX: a computational tool for the geometric characterization of protein helices during molecular dynamics simulationsMihaly Mezei, Marta Filizola
European Journal of Pharmacology|May 19, 2015
Opioid receptors: Structural and mechanistic insights into pharmacology and signalingYi Shang, Marta Filizola
The FEBS Journal|June 16, 2005
The study of G-protein coupled receptor oligomerization with computational modeling and bioinformaticsMarta Filizola, Harel Weinstein
Biochemistry|March 8, 2025
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRsDavide Provasi, Marta Filizola
Biorxiv : the Preprint Server for Biology|December 23, 2024
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRsDavide Provasi, Marta Filizola
Biorxiv : the Preprint Server for Biology|August 23, 2023
Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning TechniquesDavide Provasi, Marta Filizola
Biopolymers|January 23, 2003
Structural models for dimerization of G-protein coupled receptors: the opioid receptor homodimersMarta Filizola, Harel Weinstein
Current Opinion in Structural Biology|March 13, 2026
Computer-aided structural modeling and drug discovery for G-protein-coupled receptors in the age of artificial intelligenceSabina Novack, Marta Filizola
Pageof 12

Showing results (1-10 of 117) with videos related to

Sort By:
Pageof 12
Life Sciences|May 26, 2009
Increasingly accurate dynamic molecular models of G-protein coupled receptor oligomers: Panacea or Pandora's box for novel drug discovery?Marta Filizola
Neuroscience Letters|February 22, 2018
Insights from molecular dynamics simulations to exploit new trends for the development of improved opioid drugsMarta Filizola
Journal of Computer-Aided Molecular Design|June 20, 2006
TRAJELIX: a computational tool for the geometric characterization of protein helices during molecular dynamics simulationsMihaly Mezei, Marta Filizola
European Journal of Pharmacology|May 19, 2015
Opioid receptors: Structural and mechanistic insights into pharmacology and signalingYi Shang, Marta Filizola
The FEBS Journal|June 16, 2005
The study of G-protein coupled receptor oligomerization with computational modeling and bioinformaticsMarta Filizola, Harel Weinstein
Biochemistry|March 8, 2025
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRsDavide Provasi, Marta Filizola
Biorxiv : the Preprint Server for Biology|December 23, 2024
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRsDavide Provasi, Marta Filizola
Biorxiv : the Preprint Server for Biology|August 23, 2023
Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning TechniquesDavide Provasi, Marta Filizola
Biopolymers|January 23, 2003
Structural models for dimerization of G-protein coupled receptors: the opioid receptor homodimersMarta Filizola, Harel Weinstein
Current Opinion in Structural Biology|March 13, 2026
Computer-aided structural modeling and drug discovery for G-protein-coupled receptors in the age of artificial intelligenceSabina Novack, Marta Filizola
Pageof 12