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The Journal of Physical Chemistry. B
|
May 11, 2021
UMAP as a Dimensionality Reduction Tool for Molecular Dynamics Simulations of Biomacromolecules: A Comparison Study
Francesco Trozzi, Xinlei Wang, Peng Tao
Computational and Structural Biotechnology Journal
|
January 3, 2022
Dynamics of hydrogen bonds in the secondary structures of allosteric protein <i>Avena Sativa</i> phototropin 1
Mayar Tarek Ibrahim, Francesco Trozzi, Peng Tao
Organic & Biomolecular Chemistry
|
October 14, 2021
QM/MM modeling of class A β-lactamases reveals distinct acylation pathways for ampicillin and cefalexin
Zilin Song, Francesco Trozzi, Timothy Palzkill, et al.
The Journal of Physical Chemistry. B
|
September 24, 2020
Deciphering the Allosteric Process of the <i>Phaeodactylum tricornutum</i> Aureochrome 1a LOV Domain
Hao Tian, Francesco Trozzi, Brian D Zoltowski, et al.
ACS Physical Chemistry Au
|
August 8, 2022
Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways
Zilin Song, Francesco Trozzi, Hao Tian, et al.
Plos Computational Biology
|
July 26, 2021
Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE
Francesco Trozzi, Feng Wang, Gennady Verkhivker, et al.
Frontiers in Molecular Biosciences
|
December 6, 2021
Explore Protein Conformational Space With Variational Autoencoder
Hao Tian, Xi Jiang, Francesco Trozzi, et al.
International Journal of Molecular Sciences
|
February 9, 2021
Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking
Nischal Karki, Niraj Verma, Francesco Trozzi, et al.
Organic & Biomolecular Chemistry
|
April 14, 2022
Allosteric control of ACE2 peptidase domain dynamics
Francesco Trozzi, Nischal Karki, Zilin Song, et al.
International Journal of Molecular Sciences
|
February 12, 2021
SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction
Niraj Verma, Xingming Qu, Francesco Trozzi, et al.
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of 2
Search research articles
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Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
The Journal of Physical Chemistry. B
|
May 11, 2021
UMAP as a Dimensionality Reduction Tool for Molecular Dynamics Simulations of Biomacromolecules: A Comparison Study
Francesco Trozzi, Xinlei Wang, Peng Tao
Computational and Structural Biotechnology Journal
|
January 3, 2022
Dynamics of hydrogen bonds in the secondary structures of allosteric protein <i>Avena Sativa</i> phototropin 1
Mayar Tarek Ibrahim, Francesco Trozzi, Peng Tao
Organic & Biomolecular Chemistry
|
October 14, 2021
QM/MM modeling of class A β-lactamases reveals distinct acylation pathways for ampicillin and cefalexin
Zilin Song, Francesco Trozzi, Timothy Palzkill, et al.
The Journal of Physical Chemistry. B
|
September 24, 2020
Deciphering the Allosteric Process of the <i>Phaeodactylum tricornutum</i> Aureochrome 1a LOV Domain
Hao Tian, Francesco Trozzi, Brian D Zoltowski, et al.
ACS Physical Chemistry Au
|
August 8, 2022
Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways
Zilin Song, Francesco Trozzi, Hao Tian, et al.
Plos Computational Biology
|
July 26, 2021
Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE
Francesco Trozzi, Feng Wang, Gennady Verkhivker, et al.
Frontiers in Molecular Biosciences
|
December 6, 2021
Explore Protein Conformational Space With Variational Autoencoder
Hao Tian, Xi Jiang, Francesco Trozzi, et al.
International Journal of Molecular Sciences
|
February 9, 2021
Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking
Nischal Karki, Niraj Verma, Francesco Trozzi, et al.
Organic & Biomolecular Chemistry
|
April 14, 2022
Allosteric control of ACE2 peptidase domain dynamics
Francesco Trozzi, Nischal Karki, Zilin Song, et al.
International Journal of Molecular Sciences
|
February 12, 2021
SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction
Niraj Verma, Xingming Qu, Francesco Trozzi, et al.
Page
of 2