David B Ascher

University of Queensland

Australia

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Articles (21)

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2025

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2022

Collaborators (9)

Yoochan Myung

University of Queensland

AUSTRALIA

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Stephanie Portelli

The University of Queensland

AUSTRALIA

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Christopher Armstrong

University of Melbourne

AUSTRALIA

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Douglas Pires

Senior lecturer

University of Melbourne

AUSTRALIA

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Marcus Lee

Wellcome Sanger Institute

UNITED KINGDOM

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Gerbrand van der Heden van Noort

Assistant professor (Principal Investigator)

Leiden University Medical Center

NETHERLANDS

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Thanh Binh Nguyen

University of Queensland

AUSTRALIA

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Katherine Huang

University of Melbourne

AUSTRALIA

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Natalie Thomas

MONASH UNIVERSITY

AUSTRALIA

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David B Ascher

Research Interests

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Articles (21)

Drug resistance–associated mutations in Plasmodium UBP-1 disrupt its essential deubiquitinating activity

CSM‐Potential2: A comprehensive deep learning platform for the analysis of protein interacting interfaces

Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction

AlzDiscovery: A computational tool to identify Alzheimer's disease-causing missense mutations using protein structure information.

Exploring the effects of missense mutations on protein thermodynamics through structure-based approaches: findings from the CAGI6 challenges

MTR3D-AF2: Expanding the coverage of spatially derived missense tolerance scores across the human proteome using AlphaFold2

Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank

EFG‐CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models

DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning

A new method for network bioinformatics identifies novel drug targets for mucinous ovarian carcinoma

DDMut: predicting effects of mutations on protein stability using deep learning

LEGO-CSM: a tool for functional characterization of proteins

Understanding the complementarity and plasticity of antibody–antigen interfaces

Identifying the molecular drivers of ALS-implicated missense mutations

embryoTox: Using Graph-Based Signatures to Predict the Teratogenicity of Small Molecules

Characterization on the oncogenic effect of the missense mutations of p53 via machine learning

Identifying Innate Resistance Hotspots for SARS-CoV-2 Antivirals Using In Silico Protein Techniques

Identifying the Molecular Drivers of Pathogenic Aldehyde Dehydrogenase Missense Mutations in Cancer and Non-Cancer Diseases

Insights from Spatial Measures of Intolerance to Identifying Pathogenic Variants in Developmental and Epileptic Encephalopathies

CSM-Toxin: A Web-Server for Predicting Protein Toxicity

SARS-CoV-2 Africa dashboard for real-time COVID-19 information

Collaborators (9)

Yoochan Myung

Stephanie Portelli

Christopher Armstrong

Douglas Pires

Marcus Lee

Gerbrand van der Heden van Noort

Thanh Binh Nguyen

Katherine Huang

Natalie Thomas

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