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D-Index & Metrics

Biology and Biochemistry

D-Index
61
Citations
19747
World Ranking
11135
National Ranking
302

Overview

David B. Ascher is affiliated with the University of Queensland in Australia. Their research spans multiple areas within biochemistry, genetics, molecular biology, and medicine. A primary focus lies in molecular biology and genetics, with significant contributions also in computational theory, mathematics, infectious diseases, and materials chemistry.

The scientist's recent publications include works on protein structure and dynamics, computational drug discovery methods, and applications of machine learning in bioinformatics. Notable recent papers are:

  • "A structural biology community assessment of AlphaFold2 applications," 2022, Nature Structural & Molecular Biology
  • "DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations," 2020, Protein Science
  • "DDMut: predicting effects of mutations on protein stability using deep learning," 2023, Nucleic Acids Research
  • "Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation," 2020, arXiv (Cornell University)
  • "Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction," 2024, Nucleic Acids Research

Their work frequently appears in publication venues such as bioRxiv (Cold Spring Harbor Laboratory), Briefings in Bioinformatics, Nucleic Acids Research, Protein Science, and Computational and Structural Biotechnology Journal.

Collaboration is an important aspect of this scientist's research, with frequent co-authors including Douglas E. V. Pires, Carlos H. M. Rodrigues, Stephanie Portelli, Yoochan Myung, and Alex G. C. de Sá.

The main fields of study where David B. Ascher contributes are:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Their research subfields include:

  • Molecular Biology
  • Genetics
  • Computational Theory and Mathematics
  • Infectious Diseases
  • Materials Chemistry

Main topics covered in their work are:

  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Vaccines and immunoinformatics approaches

Best Publications

  • pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures

    Douglas E. V. Pires;Tom L. Blundell;David B. Ascher

  • mCSM: predicting the effects of mutations in proteins using graph-based signatures

    Douglas E. V. Pires;David B. Ascher;Tom L. Blundell

  • DUET: A Server for Predicting Effects of Mutations on Protein Stability Using an Integrated Computational Approach

    Douglas E.V. Pires;David B. Ascher;Tom L. Blundell

  • DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability

    Carlos H. M. Rodrigues;Douglas E. V. Pires;David B. Ascher;David B. Ascher;David B. Ascher

  • SDM: a server for predicting effects of mutations on protein stability

    Arun Prasad Pandurangan;Bernardo Ochoa-Montaño;David B. Ascher;David B. Ascher;Tom L. Blundell

  • Arpeggio: A Web Server for Calculating and Visualising Interatomic Interactions in Protein Structures.

    Harry C Jubb;Alicia P Higueruelo;Bernardo Ochoa-Montaño;Will R Pitt

  • DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations.

    Carlos H.M. Rodrigues;Carlos H.M. Rodrigues;Douglas E.V. Pires;Douglas E.V. Pires;David B. Ascher;David B. Ascher;David B. Ascher

  • mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

    Carlos H M Rodrigues;Carlos H M Rodrigues;Yoochan Myung;Yoochan Myung;Douglas E V Pires;Douglas E V Pires;David B Ascher

  • Tumour risks and genotype-phenotype correlations associated with germline variants in succinate dehydrogenase subunit genes SDHB, SDHC and SDHD.

    Katrina Andrews;David Benjamin Ascher;Douglas Eduardo Valente Pires;Daniel Robert Barnes

  • Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam

    Kathryn E. Holt;Paul McAdam;Phan Vuong Khac Thai;Nguyen Thuy Thuong Thuong

  • Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation.

    Joshua Traynelis;Michael Silk;Quanli Wang;Samuel F. Berkovic

  • DNA-PKcs structure suggests an allosteric mechanism modulating DNA double-strand break repair.

    BL Sibanda;Dimitri Yurievich Chirgadze;David Benjamin Ascher;Tom Leon Blundell

  • Mutations at protein-protein interfaces: Small changes over big surfaces have large impacts on human health.

    Harry Jubb;Arun Prasad Pandurangan;Meghan A Turner;Bernardo Ochoa-Montaño

  • Flexibility and small pockets at protein-protein interfaces: New insights into druggability

    Harry Jubb;Tom L. Blundell;David B. Ascher

  • Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

    Moi Hoon Yap;Ryo Hachiuma;Azadeh Alavi;Raphael Brüngel

  • Potent hepatitis C inhibitors bind directly to NS5A and reduce its affinity for RNA.

    David B. Ascher;Jerome Wielens;Tracy L. Nero;Larissa Doughty

  • Identification and characterization of a new cognitive enhancer based on inhibition of insulin-regulated aminopeptidase.

    Anthony L Albiston;Craig J Morton;Hooi Ling Ng;Vi Pham

  • mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance

    Douglas Ev Pires;Tom Leon Blundell;David Benjamin Ascher

  • mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures

    Douglas E.V. Pires;David B. Ascher

  • Mycobacterium tuberculosis whole genome sequencing and protein structure modelling provides insights into anti-tuberculosis drug resistance

    Jody Phelan;Francesc Coll;Ruth McNerney;Ruth McNerney;David B. Ascher

Frequent Co-Authors

Tom L. Blundell
Tom L. Blundell University of Cambridge
Michael W. Parker
Michael W. Parker University of Melbourne
Taane G. Clark
Taane G. Clark London School of Hygiene & Tropical Medicine
Ruth McNerney
Ruth McNerney University of Cape Town
Martin L. Hibberd
Martin L. Hibberd London School of Hygiene & Tropical Medicine
Leen Rigouts
Leen Rigouts Institute of Tropical Medicine Antwerp
Arnab Pain
Arnab Pain King Abdullah University of Science and Technology
Susana Campino
Susana Campino London School of Hygiene & Tropical Medicine
Kathryn E. Holt
Kathryn E. Holt London School of Hygiene & Tropical Medicine
Eamonn R. Maher
Eamonn R. Maher University of Cambridge

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