Gerhard F Ecker

Gerhard F Ecker

Universität Wien

H-index: 57

Europe-Austria

About Gerhard F Ecker

Gerhard F Ecker, With an exceptional h-index of 57 and a recent h-index of 33 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Drug Design, in silico toxicology, data science.

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

Bioactivity descriptors for in vivo toxicity prediction: now and the future

The macrocycle inhibitor landscape of SLC‐transporter

Experimental and computational analysis of newly identified pathogenic mutations in the creatine transporter SLC6A8

ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction

Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging

Systematic screening identifies ABCG2 as critical factor underlying synergy of kinase inhibitors with transcriptional CDK inhibitors

Paralog-dependent isogenic cell assay cascade generates highly selective SLC16A3 inhibitors

A structure-based view on ABC-transporter linked to multidrug resistance

Gerhard F Ecker Information

University

Position

Professor of Pharmacoinformatics

Citations(all)

10765

Citations(since 2020)

4228

Cited By

8356

hIndex(all)

57

hIndex(since 2020)

33

i10Index(all)

173

i10Index(since 2020)

96

Email

University Profile Page

Universität Wien

Google Scholar

View Google Scholar Profile

Gerhard F Ecker Skills & Research Interests

Drug Design

in silico toxicology

data science

Top articles of Gerhard F Ecker

Title

Journal

Author(s)

Publication Date

Bioactivity descriptors for in vivo toxicity prediction: now and the future

Palle Helmke

Barbara Füzi

Gerhard F Ecker

2024/3/24

The macrocycle inhibitor landscape of SLC‐transporter

Molecular Informatics

Nejra Granulo

Sergey Sosnin

Daniela Digles

Gerhard F Ecker

2024/1/30

Experimental and computational analysis of newly identified pathogenic mutations in the creatine transporter SLC6A8

Journal of Molecular Biology

Evandro Ferrada

Tabea Wiedmer

Wen-An Wang

Fabian Frommelt

Barbara Steurer

...

2024/1/15

ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction

RSC advances

Jiahui Huang

Tanja Osthushenrich

Aidan MacNamara

Anders Mälarstig

Silvia Brocchetti

...

2024

Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging

International Journal of Molecular Sciences

Karin Grillberger

Eike Cöllen

Claudia Immacolata Trivisani

Jonathan Blum

Marcel Leist

...

2023/8/24

Systematic screening identifies ABCG2 as critical factor underlying synergy of kinase inhibitors with transcriptional CDK inhibitors

Breast Cancer Research

Vera E van der Noord

Wanda van der Stel

Gijs Louwerens

Danielle Verhoeven

Hendrik J Kuiken

...

2023/5/5

Paralog-dependent isogenic cell assay cascade generates highly selective SLC16A3 inhibitors

Cell Chemical Biology

Vojtech Dvorak

Andrea Casiraghi

Claire Colas

Anna Koren

Tatjana Tomek

...

2023/8/17

A structure-based view on ABC-transporter linked to multidrug resistance

Jiahui Huang

Gerhard F Ecker

2023/1/4

eTRANSAFE: data science to empower translational safety assessment

Ferran Sanz

François Pognan

Thomas Steger-Hartmann

Carlos Díaz

Shoji Asakura

...

2023/8

Identifying differences in the performance of machine learning models for off-targets trained on publicly available and proprietary data sets

Chemical Research in Toxicology

Aljoša Smajić

Iris Rami

Sergey Sosnin

Gerhard F Ecker

2023/7/13

Toxicity prediction using target, interactome, and pathway profiles as descriptors

Toxicology Letters

Barbara Füzi

Neann Mathai

Johannes Kirchmair

Gerhard F Ecker

2023/5/15

Privacy-preserving techniques for decentralized and secure machine learning in drug discovery

Aljoša Smajić

Melanie Grandits

Gerhard F Ecker

2023/11/5

Ligand-and Structure-based Approaches for Transmembrane Transporter Modeling.

Melanie Grandits

Gerhard F Ecker

2023/5/8

Evaluation of the success of high-throughput physiologically based pharmacokinetic (HT-PBPK) modeling predictions to inform early drug discovery

Molecular Pharmaceutics

Doha Naga

Neil Parrott

Gerhard F Ecker

Andrés Olivares-Morales

2022/4/27

Exploration of potential MIE interactions of neonicotinoid pesticides and relevant metabolites by molecular docking to human nicotinic acetylcholine receptors (nAChRs)

American Chemical Society SciMeetings

Grillberger Karin

Dominik Loser

Jonathan Blum

Marcel Leist

Susanne Hougaard Bennekou

...

2022/8/18

CACHE (Critical Assessment of Computational Hit-finding Experiments): a public–private partnership benchmarking initiative to enable the development of computational methods …

Suzanne Ackloo

Rima Al-Awar

Rommie E Amaro

Cheryl H Arrowsmith

Hatylas Azevedo

...

2022/4

Using Jupyter Notebooks for re-training machine learning models

Journal of Cheminformatics

Aljoša Smajić

Melanie Grandits

Gerhard F Ecker

2022/8/13

Structure-based peptide ligand design for improved epidermal growth factor receptor targeted gene delivery

European Journal of Pharmaceutics and Biopharmaceutics

Simon Decker

Alexander Taschauer

Emanuela Geppl

Viktoria Pirhofer

Michael Schauer

...

2022/7/1

The hepatocyte export carrier inhibition assay improves the separation of hepatotoxic from non-hepatotoxic compounds

Chemico-biological interactions

Tim Brecklinghaus

Wiebke Albrecht

Franziska Kappenberg

Julia Duda

Nachiket Vartak

...

2022/1/5

POLθ processes ssDNA gaps and promotes replication fork progression in BRCA1-deficient cells

Cell Reports

Anna Schrempf

Sara Bernardo

Emili A Arasa Verge

Miguel A Ramirez Otero

Jordan Wilson

...

2022/11/29

See List of Professors in Gerhard F Ecker University(Universität Wien)

Co-Authors

H-index: 105
Per Artursson

Per Artursson

Uppsala Universitet

H-index: 90
Werner Sieghart

Werner Sieghart

Medizinische Universität Wien

H-index: 72
Michael Freissmuth

Michael Freissmuth

Medizinische Universität Wien

H-index: 67
Thierry Langer

Thierry Langer

Universität Wien

H-index: 61
Harald H. Sitte

Harald H. Sitte

Medizinische Universität Wien

H-index: 39
Manuel Pastor (ORCID: 0000-0001-8850-1341)

Manuel Pastor (ORCID: 0000-0001-8850-1341)

Universidad Pompeu Fabra

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