Davide Provasi

About Davide Provasi

Davide Provasi, With an exceptional h-index of 33 and a recent h-index of 24 (since 2020), a distinguished researcher at Icahn School of Medicine at Mount Sinai, specializes in the field of Biophysics, Computational biophysics, Drug design, Molecular dynamics, Opiod receptors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT1eR and 5-HT1FR

Allosteric communication across the μ-opioid receptor-Gi1 protein complex induced by ligands of varying efficacy

Leveraging protein language models and graph convolutional neural networks for accurate prediction of ligand bioactivity in class AG protein-coupled receptors

Transfer learning of deep hybrid ligand-based and structure-based drug discovery schemes for improved prediction of opioid ligands’ bioactivity

Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning Techniques

De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework

Gαs slow conformational transition upon GTP binding and a novel Gαs regulator

AI-assisted de novo design of selective κ-opioid receptor antagonists for the treatment of opioid addiction

Davide Provasi Information

University

Position

___

Citations(all)

5596

Citations(since 2020)

2613

Cited By

3939

hIndex(all)

33

hIndex(since 2020)

24

i10Index(all)

51

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Davide Provasi Skills & Research Interests

Biophysics

Computational biophysics

Drug design

Molecular dynamics

Opiod receptors

Top articles of Davide Provasi

Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT1eR and 5-HT1FR

Science Advances

2024/4/17

Allosteric communication across the μ-opioid receptor-Gi1 protein complex induced by ligands of varying efficacy

Biophysical Journal

2024/2/8

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Leveraging protein language models and graph convolutional neural networks for accurate prediction of ligand bioactivity in class AG protein-coupled receptors

Biophysical Journal

2024/2/8

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Transfer learning of deep hybrid ligand-based and structure-based drug discovery schemes for improved prediction of opioid ligands’ bioactivity

Biophysical Journal

2024/2/8

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning Techniques

The Journal of Physical Chemistry B

2023/12/12

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework

Journal of Chemical Information and Modeling

2023/8/9

Gαs slow conformational transition upon GTP binding and a novel Gαs regulator

Iscience

2023/5/19

AI-assisted de novo design of selective κ-opioid receptor antagonists for the treatment of opioid addiction

Biophysical Journal

2023/2/10

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Long-lived conformational changes in active Gsα revealed in atomistic detail by integrating HDX-MS with enhanced molecular dynamics simulations

Biophysical Journal

2022/2/11

A novel mitragynine analog with low-efficacy mu opioid receptor agonism displays antinociception with attenuated adverse effects

Journal of medicinal chemistry

2021/9/10

Differences in interactions between transmembrane domains tune the activation of metabotropic glutamate receptors

Elife

2021/4/21

Markov State Model Analysis of Dynamic Dimerization Interfaces between Transmembrane Domains of Metabotropic Glutamate Receptors

Biophysical Journal

2021/2/12

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Efficient Prediction of the Effect of Mutations on the Activation Kinetics of G Protein-Coupled Receptors Using a Maximum Caliber Approach

Biophysical Journal

2020/2/7

Molecular Dynamicssimulations of A 2.8-Å Resolution Cryo-EM Structure of the αIIbβ3-Abciximab Complex

Biophysical Journal

2020/2/7

Atomic-Level Characterization of the Distinct Methadone-Induced Conformational Sampling and Activation Kinetics of the µ-Opioid Receptor by Molecular Simulations

Biophysical Journal

2020/2/7

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Predicted Mode of Binding to and Allosteric Modulation of the μ-Opioid Receptor by Kratom’s Alkaloids with Reported Antinociception In Vivo

Biochemistry

2020/12/4

Atomic-level characterization of the methadone-stabilized active conformation of µ-opioid receptor

Molecular Pharmacology

2020/10/1

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G …

The Journal of Chemical Physics

2020/9/28

Davide Provasi
Davide Provasi

H-Index: 22

Marta Filizola
Marta Filizola

H-Index: 31

Cryo-electron microscopy structure of the αIIbβ3-abciximab complex

Arteriosclerosis, thrombosis, and vascular biology

2020/3

See List of Professors in Davide Provasi University(Icahn School of Medicine at Mount Sinai)

Co-Authors

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