Search research articles
Contact Us
Filters
Showing results (1-10 of 23) with videos related to
Page
of 3
Sort By:
Biotechnology Advances
|
August 23, 2011
Advances and applications of binding affinity prediction methods in drug discovery
Marco Daniele Parenti, Giulio Rastelli
Bioorganic & Medicinal Chemistry Letters
|
September 3, 2003
Structure of Plasmodium vivax dihydrofolate reductase determined by homology modeling and molecular dynamics refinement
Giulio Rastelli, Sara Pacchioni, Marco Daniele Parenti
Journal of Biomolecular Screening
|
November 19, 2010
BEAR, a novel virtual screening methodology for drug discovery
Gianluca Degliesposti, Corinne Portioli, Marco Daniele Parenti, et al.
Molecular Biosystems
|
June 11, 2015
Selectivity hot-spots of sirtuin catalytic cores
Marco Daniele Parenti, Santina Bruzzone, Alessio Nencioni, et al.
Journal of Medicinal Chemistry
|
August 6, 2004
Three-dimensional quantitative structure-activity relationship analysis of a set of Plasmodium falciparum dihydrofolate reductase inhibitors using a pharmacophore generation approach
Marco Daniele Parenti, Sara Pacchioni, Anna Maria Ferrari, et al.
Current Pharmaceutical Design
|
September 29, 2012
Modulation of epigenetic targets for anticancer therapy: clinicopathological relevance, structural data and drug discovery perspectives
Federico Andreoli, Arménio Jorge Moura Barbosa, Marco Daniele Parenti, et al.
Journal of Medicinal Chemistry
|
June 27, 2003
Docking and database screening reveal new classes of Plasmodium falciparum dihydrofolate reductase inhibitors
Giulio Rastelli, Sara Pacchioni, Worachart Sirawaraporn, et al.
Current Pharmaceutical Design
|
September 29, 2012
Rejuvenating sirtuins: the rise of a new family of cancer drug targets
Santina Bruzzone, Marco Daniele Parenti, Alessia Grozio, et al.
Cancers
|
February 26, 2025
The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments
Carolina Momoli, Beatrice Costa, Lorenzo Lenti, et al.
Cancers
|
April 14, 2025
Correction: Momoli et al. The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments. <i>Cancers</i> 2025, <i>17</i>, 700
Carolina Momoli, Beatrice Costa, Lorenzo Lenti, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
Biotechnology Advances
|
August 23, 2011
Advances and applications of binding affinity prediction methods in drug discovery
Marco Daniele Parenti, Giulio Rastelli
Bioorganic & Medicinal Chemistry Letters
|
September 3, 2003
Structure of Plasmodium vivax dihydrofolate reductase determined by homology modeling and molecular dynamics refinement
Giulio Rastelli, Sara Pacchioni, Marco Daniele Parenti
Journal of Biomolecular Screening
|
November 19, 2010
BEAR, a novel virtual screening methodology for drug discovery
Gianluca Degliesposti, Corinne Portioli, Marco Daniele Parenti, et al.
Molecular Biosystems
|
June 11, 2015
Selectivity hot-spots of sirtuin catalytic cores
Marco Daniele Parenti, Santina Bruzzone, Alessio Nencioni, et al.
Journal of Medicinal Chemistry
|
August 6, 2004
Three-dimensional quantitative structure-activity relationship analysis of a set of Plasmodium falciparum dihydrofolate reductase inhibitors using a pharmacophore generation approach
Marco Daniele Parenti, Sara Pacchioni, Anna Maria Ferrari, et al.
Current Pharmaceutical Design
|
September 29, 2012
Modulation of epigenetic targets for anticancer therapy: clinicopathological relevance, structural data and drug discovery perspectives
Federico Andreoli, Arménio Jorge Moura Barbosa, Marco Daniele Parenti, et al.
Journal of Medicinal Chemistry
|
June 27, 2003
Docking and database screening reveal new classes of Plasmodium falciparum dihydrofolate reductase inhibitors
Giulio Rastelli, Sara Pacchioni, Worachart Sirawaraporn, et al.
Current Pharmaceutical Design
|
September 29, 2012
Rejuvenating sirtuins: the rise of a new family of cancer drug targets
Santina Bruzzone, Marco Daniele Parenti, Alessia Grozio, et al.
Cancers
|
February 26, 2025
The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments
Carolina Momoli, Beatrice Costa, Lorenzo Lenti, et al.
Cancers
|
April 14, 2025
Correction: Momoli et al. The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments. <i>Cancers</i> 2025, <i>17</i>, 700
Carolina Momoli, Beatrice Costa, Lorenzo Lenti, et al.
Page
of 3