Rafael Najmanovich

Rafael Najmanovich

Université de Montréal

H-index: 32

North America-Canada

About Rafael Najmanovich

Rafael Najmanovich, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Computational/Structural/Systems Pharmacology, Chemo/Bio - informatics, Molecular Recognition/Drug Design.

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

Ebola virus VP35 interacts non-covalently with ubiquitin chains to promote viral replication

Understanding and predicting ligand efficacy in the mu-opioid receptor through quantitative dynamical analysis of complex structures

Surfaces: a software to quantify and visualize interactions within and between proteins and ligands

The DynaSig-ML Python package: automated learning of biomolecular dynamics–function relationships

Sequence-sensitive elastic network captures dynamical features necessary for miR-125a maturation

SPEAR: Systematic ProtEin AnnotatoR

Selective CDK9 inhibition by natural compound toyocamycin in cancer cells

Computational analysis of the effect of SARS-CoV-2 variant Omicron Spike protein mutations on dynamics, ACE2 binding and propensity for immune escape

Rafael Najmanovich Information

University

Position

___

Citations(all)

3529

Citations(since 2020)

1158

Cited By

2833

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

48

i10Index(since 2020)

34

Email

University Profile Page

Université de Montréal

Google Scholar

View Google Scholar Profile

Rafael Najmanovich Skills & Research Interests

Computational/Structural/Systems Pharmacology

Chemo/Bio - informatics

Molecular Recognition/Drug Design

Top articles of Rafael Najmanovich

Title

Journal

Author(s)

Publication Date

Ebola virus VP35 interacts non-covalently with ubiquitin chains to promote viral replication

PLoS biology

Carlos A Rodríguez-Salazar

Sarah van Tol

Olivier Mailhot

Maria Gonzalez-Orozco

Gabriel T Galdino

...

2024/2/29

Understanding and predicting ligand efficacy in the mu-opioid receptor through quantitative dynamical analysis of complex structures

bioRxiv

Gabriel Tiago Galdino

Olivier Mailhot

Rafael Najmanovich

2024

Surfaces: a software to quantify and visualize interactions within and between proteins and ligands

Bioinformatics

Natália Teruel

Vinicius Magalhães Borges

Rafael Najmanovich

2023/10/1

The DynaSig-ML Python package: automated learning of biomolecular dynamics–function relationships

Bioinformatics

Olivier Mailhot

François Major

Rafael Najmanovich

2023/4/1

Sequence-sensitive elastic network captures dynamical features necessary for miR-125a maturation

PLOS Computational Biology

Olivier Mailhot

Vincent Frappier

François Major

Rafael J Najmanovich

2022/12/14

SPEAR: Systematic ProtEin AnnotatoR

Bioinformatics

Matthew Crown

Natalia Teruel

Rafael Najmanovich

Matthew Bashton

2022/8/1

Selective CDK9 inhibition by natural compound toyocamycin in cancer cells

Cancers

Somnath Pandey

Rahinatou Djibo

Anaïs Darracq

Gennaro Calendo

Hanghang Zhang

...

2022/7/8

Computational analysis of the effect of SARS-CoV-2 variant Omicron Spike protein mutations on dynamics, ACE2 binding and propensity for immune escape

bioRxiv

Natalia Teruel

Matthew Crown

Matthew Bashton

Rafael Najmanovich

2021/12/15

Repurposing proscillaridin A in combination with decitabine against embryonal rhabdomyosarcoma RD cells

Cancer Chemotherapy and Pharmacology

Marielle Huot

Maxime Caron

Chantal Richer

Rahinatou Djibo

Rafael Najmanovich

...

2021/11

The NRGTEN Python package: an extensible toolkit for coarse-grained normal mode analysis of proteins, nucleic acids, small molecules and their complexes

Bioinformatics

Olivier Mailhot

Rafael Najmanovich

2021/10/1

Modelling conformational state dynamics and its role on infection for SARS-CoV-2 Spike protein variants

PLoS computational biology

Natália Teruel

Olivier Mailhot

Rafael J Najmanovich

2021/8/5

See List of Professors in Rafael Najmanovich University(Université de Montréal)

Co-Authors

H-index: 114
Michele Vendruscolo

Michele Vendruscolo

University of Cambridge

H-index: 110
Stefan Knapp

Stefan Knapp

Goethe-Universität Frankfurt am Main

H-index: 92
Thomas Funkhouser

Thomas Funkhouser

Princeton University

H-index: 86
Eytan Domany

Eytan Domany

Weizmann Institute of Science

H-index: 84
Philip E. Bourne

Philip E. Bourne

University of Virginia

H-index: 54
Matthieu Schapira

Matthieu Schapira

University of Toronto

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