Marta Filizola

About Marta Filizola

Marta Filizola, With an exceptional h-index of 49 and a recent h-index of 32 (since 2020), a distinguished researcher at Icahn School of Medicine at Mount Sinai, specializes in the field of GPCRs, integrins, computational biology, computational biophysics, drug discovery.

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

Structural basis for partial agonism in 5-HT3A receptors (jan, 10.1038/s41594-023-01140-2, 2024)

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

Structural basis for partial agonism and allosteric modulation of the 5HT3AR

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

Structural basis of allosteric modulation of metabotropic glutamate receptor activation and desensitization

Burkholderia cenocepacia epigenetic regulator M.BceJIV simultaneously engages two DNA recognition sequences for methylation

Marta Filizola Information

University

Position

Dean and Professor at

Citations(all)

8932

Citations(since 2020)

3607

Cited By

6779

hIndex(all)

49

hIndex(since 2020)

32

i10Index(all)

112

i10Index(since 2020)

70

Email

University Profile Page

Google Scholar

Marta Filizola Skills & Research Interests

GPCRs

integrins

computational biology

computational biophysics

drug discovery

Top articles of Marta Filizola

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

Science Advances

2024/4/17

Structural basis for partial agonism in 5-HT3A receptors (jan, 10.1038/s41594-023-01140-2, 2024)

Nature Structural & Molecular Biology

2024/1/4

Marta Filizola
Marta Filizola

H-Index: 31

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

Structural basis for partial agonism and allosteric modulation of the 5HT3AR

Biophysical Journal

2024/2/8

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

Structural basis of allosteric modulation of metabotropic glutamate receptor activation and desensitization

Biophysical Journal

2024/2/8

Burkholderia cenocepacia epigenetic regulator M.BceJIV simultaneously engages two DNA recognition sequences for methylation

bioRxiv

2024

Deciphering downstream receptor signaling

Science

2023/12/22

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

Sox11 inhibitors for treating mantle cell lymphoma

2023/8/3

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

Iscience

2023/5/19

Structural basis for ligand modulation and partial agonism of the 5-HT3R

Biophysical Journal

2023/2/10

Marta Filizola
Marta Filizola

H-Index: 31

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

Computational characterization of the binding mode and mechanism of action of tricyclic small molecules at 5-HT1E and 5-HT1F receptors

Proteins: Structure, Function, and Bioinformatics

2018/10

Metadynamics simulations leveraged by statistical analyses and artificial intelligence-based tools to inform the discovery of G protein-coupled receptor ligands

2022/12/23

Marta Filizola
Marta Filizola

H-Index: 31

Implementation of an online reporting system to identify unprofessional behaviors and mistreatment directed at trainees at an academic medical center

JAMA Network Open

2022/12/1

Marta Filizola
Marta Filizola

H-Index: 31

Structure-Based Discovery of a Novel Class of Small-Molecule Pure Antagonists of Integrin αVβ3

J. Chem. Inf. Model.

2022/10/24

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

See List of Professors in Marta Filizola University(Icahn School of Medicine at Mount Sinai)

Co-Authors

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