Davide Provasi

Biochemistry, Genetics and Molecular BiologyNeuroscienceComputer ScienceChemistry

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 23 papers. Top paper: “A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors”.

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

The Journal of Chemical Physics(2020)10.1063/5.0019100

N/A

0.593DataRank · unranked

51 citations

Davide Provasi, Marta Filizola, João Marcelo Lamim Ribeiro

Elucidating the molecular logic of a metabotropic glutamate receptor heterodimer

Nature Communications(2024)10.1038/s41467-024-52822-4

N/A

0.406DataRank · unranked

14 citations

Davide Provasi, Colleen M. Niswender, Wesley B. Asher, Jonathan A. Javitch, Xin Lin

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

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.22.440994

N/A

0.292DataRank · unranked

6 citations

Jeffrey F. DiBerto, Abdelfattah Faouzi, Sarah M. Bernhard, Anna M. Gutridge, Steven Ramsey +19 more

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

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.04.552065

N/A

0.104DataRank · unranked

1 citations

Marta Filizola, Davide Provasi

A Novel Mitragynine Analog with Low-Efficacy Mu Opioid Receptor Agonism Displays Antinociception with Attenuated Adverse Effects

Journal of Medicinal Chemistry(2021)10.1021/acs.jmedchem.1c01273

N/A

0DataRank · unranked

75 citations

Jeffrey F. DiBerto, Abdelfattah Faouzi, Sarah M. Bernhard, Anna M. Gutridge, Steven Ramsey +19 more

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

eLife(2021)10.7554/elife.67027

N/A

0DataRank · unranked

27 citations

Jean‐Yves Tano, Joon Lee, Leslie Salas-Estrada, Davide Provasi, Alexa Strauss +7 more

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

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.04.429701

N/A

0DataRank · unranked

1 citations

Jean‐Yves Tano, Joon Lee, Leslie Salas-Estrada, Davide Provasi, Alexa Strauss +7 more

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

Journal of Chemical Information and Modeling(2023)10.1021/acs.jcim.3c00651

N/A

0DataRank · unranked

22 citations

Davide Provasi, Xing Qiu, H. Ümit Kanıskan, Xi‐Ping Huang, Jeffrey F. DiBerto +5 more

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

iScience(2023)10.1016/j.isci.2023.106603

N/A

0DataRank · unranked

14 citations

Davide Provasi, Nguyễn Minh Đức, Jun Xu, Leslie Salas-Estrada, Aleksandar Spasic +8 more

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)10.1021/acs.jpcb.3c05306

N/A

0DataRank · unranked

14 citations

Marta Filizola, Davide Provasi

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

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.25.537995

N/A

0DataRank · unranked

1 citations

Davide Provasi, Xing Qui, H. Ümit Kanıskan, Xi‐Ping Huang, Jeffrey F. DiBerto +5 more

Structural Insights into the Unexpected Agonism of Tetracyclic Antidepressants at Serotonin Receptors 5-HT 1e R and 5-HT 1F R

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.05.561100

N/A

0DataRank · unranked

0 citations

Alexandra Kalia Parpounas, Audrey L. Warren, Bianca Fiorillo, Davide Provasi, Marta Filizola +2 more

Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT 1e R and 5-HT 1F R

Science Advances(2024)10.1126/sciadv.adk4855

N/A

0DataRank · unranked

7 citations

Alexandra Kalia Parpounas, Audrey L. Warren, Bianca Fiorillo, Davide Provasi, Marta Filizola +2 more

A Novel Mitragynine Analog with Low-Efficacy Mu Opioid Receptor Agonism Displays Antinociception with Attenuated Adverse Effects

UNC Libraries(2024)10.17615/rgn3-nc05

N/A

0DataRank · unranked

0 citations

Scott D. Ramsey, Davide Provasi, Nitin Nuthikattu, van Rijn R.M, Che T +19 more

Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.07.627102

N/A

0DataRank · unranked

0 citations

Marta Filizola, Davide Provasi

Structural basis for saxitoxin congener binding and neutralization by anuran saxiphilins

Nature Communications(2025)10.1038/s41467-025-58903-2

N/A

0DataRank · unranked

6 citations

Samantha A. Nixon, Zhou Chen, Holly S. Hajare, Elizabeth R. Park, John V. Mulcahy +9 more

Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs

Biochemistry(2025)10.1021/acs.biochem.4c00832

N/A

0DataRank · unranked

4 citations

Marta Filizola, Davide Provasi

Synthesis and Characterization of Photoswitchable Covalent Ligands for the β 2 ‐Adrenoceptor

Angewandte Chemie International Edition(2025)10.1002/anie.202424038

N/A

0DataRank · unranked

3 citations

Eduard Neu, Davide Provasi, Steffen Feustel, Maximilian F. Schmidt, Harald Hübner +5 more

BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects Across Class A GPCRs

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.04.668547

N/A

0DataRank · unranked

0 citations

Kirill A. Konovalov, Nicholas Riina, Olivia Cullen, Marta Filizola, Davide Provasi

Structural and dynamic studies uncover a distinct allosteric modulatory site at the μ-opioid receptor

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.14.682454

N/A

0DataRank · unranked

0 citations

Kirill A. Konovalov, Alexandra Kalia Parpounas, Davide Provasi, Shifan Yang, Alejandro Abraham +6 more

Atomic-Level Characterization of the Methadone-Stabilized Active Conformation of µ-Opioid Receptor

Molecular Pharmacology(2020)10.1124/mol.119.119339

N/A

0DataRank · unranked

21 citations

Davide Provasi, Marta Filizola, Abhijeet Kapoor

Cryo-Electron Microscopy Structure of the αIIbβ3-Abciximab Complex

Arteriosclerosis Thrombosis and Vascular Biology(2020)10.1161/atvbaha.119.313671

N/A

0DataRank · unranked

22 citations

Yixiao Zhang, Aleksandar Spasic, Jihong Li, Davide Provasi, Marta Filizola +3 more

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

Biochemistry(2020)10.1021/acs.biochem.0c00658

N/A

0DataRank · unranked

35 citations

Steven Ramsey, Davide Provasi, Amal El Daibani, Kevin Appourchaux, Soumen Chakraborty +5 more