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Professor David Ascher
Professor

David Ascher

Email: 
Phone: 
+61 7 336 53991

Overview

Background

Prof David Ascher is currently an NHMRC Investigator and Director of the Biotechnology Program at the University of Queensland. He is also Head of Computational Biology and Clinical Informatics at the Baker Institute.

David’s research focus is in modelling biological data to gain insight into fundamental biological processes. One of his primary research interests has been developing tools to unravel the link between genotype and phenotype, using computational and experimental approaches to understand the effects of mutations on protein structure and function. His group has developed a platform of over 40 widely used programs for assessing the molecular consequences of coding variants (>7 million hits/year).

Working with clinical collaborators in Australia, Brazil and UK, these methods have been translated into the clinic to guide the diagnosis, management and treatment of a number of hereditary diseases, rare cancers and drug resistant infections.

David has a B.Biotech from the University of Adelaide, majoring in Biochemistry, Biotechnology and Pharmacology and Toxicology; and a B.Sci(Hon) from the University of Queensland, majoring in Biochemistry, where he worked with Luke Guddat and Ron Duggleby on the structural and functional characterization of enzymes in the branched-chain amino acid biosynthetic pathway. David then went to St Vincent’s Institute of Medical Research to undertake a PhD at the University of Melbourne in Biochemistry. There he worked under the supervision of Michael Parker using computational, biochemical and structural tools to develop small molecules drugs to improve memory.

In 2013 David went to the University of Cambridge to work with Sir Tom Blundell on using fragment based drug development techniques to target protein-protein interactions; and subsequently on the structural characterisation of proteins involved in non-homologous DNA repair. He returned to Cambridge in 2014 to establish a research platform to characterise the molecular effects of mutations on protein structure and function- using this information to gain insight into the link between genetic changes and phenotypes. He was subsequently recruited as a lab head in the Department of Biochemistry and Molecular Biology at the University of Melbourne in 2016, before joining the Baker Institute in 2019 and the University of Queensland in 2021.

He is an Associate Editor of PBMB and Fronteirs in Bioinformatics, and holds honorary positions at Bio21 Institute, Cambridge University, FIOCRUZ, and the Tuscany University Network.

Availability

Professor David Ascher is:
Available for supervision
Media expert

Research impacts

We have successfully translated our computational tools into the clinic and industry, including:

  • Clinical detection of drug resistance from whole-genome sequencing of pathogens, including Tuburculosis and Leprosy
  • Genetic counselling for rare diseases and cancers with Addenbrooke's Hospital and Brazilian Ministry of Health
  • Patient stratification within clinical trials
  • Implementation within industry drug and biologics development programs

The tools we have developed have also been widely adopted within existing academic programs including:

  • Integration of intermolecular interaction calculations using our tool Arpeggio in the PDBe, the European resource for the collection, organisation and dissemination of data on biological macromolecular structures.
  • Integration of our missense tolerance scores within the widely used VEP tool for variant characterisation.
  • Implementation of our resistance prediction tools within the London School of Hygiene & Tropical Medicine's TB-Profiler tool.

Works

Search Professor David Ascher’s works on UQ eSpace

179 works between 2008 and 2024

101 - 120 of 179 works

2019

Journal Article

MTR-Viewer: identifying regions within genes under purifying selection

Silk, Michael, Petrovski, Slavé and Ascher, David B (2019). MTR-Viewer: identifying regions within genes under purifying selection. Nucleic Acids Research, 47 (W1), W121-W126. doi: 10.1093/nar/gkz457

MTR-Viewer: identifying regions within genes under purifying selection

2019

Journal Article

Homogentisate 1,2-dioxygenase (HGD) gene variants, their analysis and genotype-phenotype correlations in the largest cohort of patients with AKU

Ascher, David B, Spiga, Ottavia, Sekelska, Martina, Pires, Douglas E V, Bernini, Andrea, Tiezzi, Monica, Kralovicova, Jana, Borovska, Ivana, Soltysova, Andrea, Olsson, Birgitta, Galderisi, Silvia, Cicaloni, Vittoria, Ranganath, Lakshminarayan, Santucci, Annalisa and Zatkova, Andrea (2019). Homogentisate 1,2-dioxygenase (HGD) gene variants, their analysis and genotype-phenotype correlations in the largest cohort of patients with AKU. European Journal of Human Genetics : EJHG, 27 (6), 888-902. doi: 10.1038/s41431-019-0354-0

Homogentisate 1,2-dioxygenase (HGD) gene variants, their analysis and genotype-phenotype correlations in the largest cohort of patients with AKU

2019

Journal Article

Empirical ways to identify novel Bedaquiline resistance mutations in AtpE

Karmakar, Malancha, Rodrigues, Carlos H M, Holt, Kathryn E, Dunstan, Sarah J, Denholm, Justin and Ascher, David B (2019). Empirical ways to identify novel Bedaquiline resistance mutations in AtpE. PloS one, 14 (5) e0217169, e0217169. doi: 10.1371/journal.pone.0217169

Empirical ways to identify novel Bedaquiline resistance mutations in AtpE

2019

Journal Article

Human LC3 and GABARAP subfamily members achieve functional specificity via specific structural modulations

Jatana, Nidhi, Ascher, David B., Pires, Douglas E.V., Gokhale, Rajesh S. and Thukral, Lipi (2019). Human LC3 and GABARAP subfamily members achieve functional specificity via specific structural modulations. Autophagy, 16 (2), 239-255. doi: 10.1080/15548627.2019.1606636

Human LC3 and GABARAP subfamily members achieve functional specificity via specific structural modulations

2019

Journal Article

A 30 kDa polyethylene glycol-enfuvirtide complex enhances the exposure of enfuvirtide in lymphatic viral reservoirs in rats

Kaminskas, Lisa M., Williams, Charlotte C., Leong, Nathania J., Chan, Linda J., Butcher, Neville J., Feeney, Orlagh M., Porter, Christopher J.H., Tyssen, David, Tachedjian, Gilda and Ascher, David B. (2019). A 30 kDa polyethylene glycol-enfuvirtide complex enhances the exposure of enfuvirtide in lymphatic viral reservoirs in rats. European Journal of Pharmaceutics and Biopharmaceutics, 137, 218-226. doi: 10.1016/j.ejpb.2019.03.008

A 30 kDa polyethylene glycol-enfuvirtide complex enhances the exposure of enfuvirtide in lymphatic viral reservoirs in rats

2019

Book Chapter

Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility

Pires, Douglas E. V., Rodrigues, Carlos H. M., Albanaz, Amanda T. S., Karmakar, Malancha, Myung, Yoochan, Xavier, Joicymara, Michanetzi, Eleni-Maria, Portelli, Stephanie and Ascher, David B. (2019). Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility. Protein Supersecondary Structures: Methods and Protocols. (pp. 173-185) edited by Alexander E. Kister. New York, NY, United States: Springer. doi: 10.1007/978-1-4939-9161-7_9

Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility

2018

Journal Article

Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis

Portelli, Stephanie, Phelan, Jody E., Ascher, David B., Clark, Taane G. and Furnham, Nicholas (2018). Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis. Scientific Reports, 8 (1) 15356. doi: 10.1038/s41598-018-33370-6

Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis

2018

Journal Article

Structural and biochemical insights into the function and evolution of sulfoquinovosidases

Abayakoon, Palika, Jin, Yi, Lingford, James P., Petricevic, Marija, John, Alan, Ryan, Eileen, Wai-Ying Mui, Janice, Pires, Douglas E.V., Ascher, David B., Davies, Gideon J., Goddard-Borger, Ethan D. and Williams, Spencer J. (2018). Structural and biochemical insights into the function and evolution of sulfoquinovosidases. ACS Central Science, 4 (9), 1266-1273. doi: 10.1021/acscentsci.8b00453

Structural and biochemical insights into the function and evolution of sulfoquinovosidases

2018

Journal Article

Analysis of a novel pncA mutation for susceptibility to pyrazinamide therapy

Karmakar, Malancha, Globan, Maria, Fyfe, Janet A. M., Stinear, Timothy P., Johnson, Paul D. R., Holmes, Natasha E., Denholm, Justin T. and Ascher, David B. (2018). Analysis of a novel pncA mutation for susceptibility to pyrazinamide therapy. American Journal of Respiratory and Critical Care Medicine, 198 (4), 541-544. doi: 10.1164/rccm.201712-2572le

Analysis of a novel pncA mutation for susceptibility to pyrazinamide therapy

2018

Journal Article

Kinact: a computational approach for predicting activating missense mutations in protein kinases

Rodrigues, Carlos H.M., Ascher, David B. and Pires, Douglas E.V. (2018). Kinact: a computational approach for predicting activating missense mutations in protein kinases. Nucleic Acids Research, 46 (W1), W127-W132. doi: 10.1093/nar/gky375

Kinact: a computational approach for predicting activating missense mutations in protein kinases

2018

Journal Article

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

Holt, Kathryn E, McAdam, Paul, Thai, Phan Vuong Khac, Thuong, Nguyen Thuy Thuong, Ha, Dang Thi Minh, Lan, Nguyen Ngoc, Lan, Nguyen Huu, Nhu, Nguyen Thi Quynh, Hai, Hoang Thanh, Ha, Vu Thi Ngoc, Thwaites, Guy, Edwards, David J, Nath, Artika P, Pham, Kym, Ascher, David B, Farrar, Jeremy, Khor, Chiea Chuen, Teo, Yik Ying, Inouye, Michael, Caws, Maxine and Dunstan, Sarah J (2018). Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam. Nature Genetics, 50 (6), 849-856. doi: 10.1038/s41588-018-0117-9

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

2018

Journal Article

Relapsed acute lymphoblastic leukemia-specific mutations in NT5C2 cluster into hotspots driving intersubunit stimulation

Hnízda, Aleš, Fábry, Milan, Moriyama, Takaya, Pachl, Petr, Kugler, Michael, Brinsa, Vítězslav, Ascher, David B, Carroll, William L, Novák, Petr, Žaliová, Markéta, Trka, Jan, Řezáčová, Pavlína, Yang, Jun J and Veverka, Václav (2018). Relapsed acute lymphoblastic leukemia-specific mutations in NT5C2 cluster into hotspots driving intersubunit stimulation. Leukemia, 32 (6), 1393-1403. doi: 10.1038/s41375-018-0073-5

Relapsed acute lymphoblastic leukemia-specific mutations in NT5C2 cluster into hotspots driving intersubunit stimulation

2018

Journal Article

Tumour risks and genotype-phenotype correlations associated with germline variants in succinate dehydrogenase subunit genes , and

Andrews, Katrina A, Ascher, David B, Pires, Douglas Eduardo Valente, Barnes, Daniel R, Vialard, Lindsey, Casey, Ruth T, Bradshaw, Nicola, Adlard, Julian, Aylwin, Simon, Brennan, Paul, Brewer, Carole, Cole, Trevor, Cook, Jackie A, Davidson, Rosemarie, Donaldson, Alan, Fryer, Alan, Greenhalgh, Lynn, Hodgson, Shirley V, Irving, Richard, Lalloo, Fiona, McConachie, Michelle, McConnell, Vivienne P M, Morrison, Patrick J, Murday, Victoria, Park, Soo-Mi, Simpson, Helen L, Snape, Katie, Stewart, Susan, Tomkins, Susan E ... Maher, Eamonn R (2018). Tumour risks and genotype-phenotype correlations associated with germline variants in succinate dehydrogenase subunit genes , and . Journal of Medical Genetics, 55 (6), 384-394. doi: 10.1136/jmedgenet-2017-105127

Tumour risks and genotype-phenotype correlations associated with germline variants in succinate dehydrogenase subunit genes , and

2018

Journal Article

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

Rodrigues, Carlos H.M., Pires, Douglas E.V. and Ascher, David B. (2018). DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability. Nucleic Acids Research, 46 (W1), W350-W355. doi: 10.1093/nar/gky300

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

2018

Journal Article

Fragment-based approach to targeting inosine-5'-monophosphate dehydrogenase (IMPDH) from Mycobacterium tuberculosis

Trapero, Ana, Pacitto, Angela, Singh, Vinayak, Sabbah, Mohamad, Coyne, Anthony G, Mizrahi, Valerie, Blundell, Tom L, Ascher, David B and Abell, Chris (2018). Fragment-based approach to targeting inosine-5'-monophosphate dehydrogenase (IMPDH) from Mycobacterium tuberculosis. Journal of Medicinal Chemistry, 61 (7), 2806-2822. doi: 10.1021/acs.jmedchem.7b01622

Fragment-based approach to targeting inosine-5'-monophosphate dehydrogenase (IMPDH) from Mycobacterium tuberculosis

2018

Journal Article

Structural implications of mutations conferring rifampin resistance in Mycobacterium leprae

Vedithi, Sundeep Chaitanya, Malhotra, Sony, Das, Madhusmita, Daniel, Sheela, Kishore, Nanda, George, Anuja, Arumugam, Shantha, Rajan, Lakshmi, Ebenezer, Mannam, Ascher, David B, Arnold, Eddy and Blundell, Tom L (2018). Structural implications of mutations conferring rifampin resistance in Mycobacterium leprae. Scientific Reports, 8 (1) 5016. doi: 10.1038/s41598-018-23423-1

Structural implications of mutations conferring rifampin resistance in Mycobacterium leprae

2018

Journal Article

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection

Hawkey, Jane, Ascher, David B, Judd, Louise M, Wick, Ryan R, Kostoulias, Xenia, Cleland, Heather, Spelman, Denis W, Padiglione, Alex, Peleg, Anton Y and Holt, Kathryn E (2018). Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection. Microbial Genomics, 4 (3) ARTN 000165. doi: 10.1099/mgen.0.000165

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection

2018

Book Chapter

Prediction and optimization of pharmacokinetic and toxicity properties of the ligand

Pires, Douglas E. V., Kaminskas, Lisa M. and Ascher, David B. (2018). Prediction and optimization of pharmacokinetic and toxicity properties of the ligand. Computational Drug Discovery and Design. (pp. 271-284) New York, NY United States: Humana Press. doi: 10.1007/978-1-4939-7756-7_14

Prediction and optimization of pharmacokinetic and toxicity properties of the ligand

2017

Journal Article

A computational approach from gene to structure analysis of the human ABCA4 transporter involved in genetic retinal diseases

Trezza, Alfonso, Bernini, Andrea, Langella, Andrea, Ascher, David B, Pires, Douglas E V, Sodi, Andrea, Passerini, Ilaria, Pelo, Elisabetta, Rizzo, Stanislao, Niccolai, Neri and Spiga, Ottavia (2017). A computational approach from gene to structure analysis of the human ABCA4 transporter involved in genetic retinal diseases. Investigative Ophthalmology and Visual Science, 58 (12), 5320-5328. doi: 10.1167/iovs.17-22158

A computational approach from gene to structure analysis of the human ABCA4 transporter involved in genetic retinal diseases

2017

Journal Article

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

Traynelis, Joshua, Silk, Michael, Wang, Quanli, Berkovic, Samuel F, Liu, Liping, Ascher, David B, Balding, David J and Petrovski, Slavé (2017). Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation. Genome Research, 27 (10), 1715-1729. doi: 10.1101/gr.226589.117

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

Funding

Current funding

  • 2023 - 2027
    Improving genetic diagnosis of autoimmune and autoinflammatory disease through an integrated multi-omics approach (MRFF 2022 GHFM - administered by ANU)
    The Australian National University
    Open grant

Supervision

Availability

Professor David Ascher is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Developing structure-based deep learning methods to predict mutation effects on proteins

    Principal Advisor

  • Doctor Philosophy

    Computer-aided drug design: predicting and mitigating drug toxicity

    Principal Advisor

    Other advisors: Dr Stephanie Portelli

  • Doctor Philosophy

    Exploring Cardiotoxicity Risk Factors

    Principal Advisor

    Other advisors: Dr Thanh-Binh Nguyen

  • Doctor Philosophy

    Post-transcriptional gene regulation: towards a better understanding of pathogenesis and medical applications

    Principal Advisor

  • Doctor Philosophy

    Computational approaches to engineer and modulate G protein-coupled receptors

    Principal Advisor

  • Doctor Philosophy

    Personalising treatments for genetic diseases

    Principal Advisor

    Other advisors: Dr Stephanie Portelli

  • Doctor Philosophy

    Deep Learning Algorithms for Polygenic Genotype-Phenotype Predictions and the development of genetics computation tools

    Principal Advisor

  • Doctor Philosophy

    Towards the accurate functional characterisation of protein coding mutations

    Principal Advisor

    Other advisors: Dr Stephanie Portelli, Dr Thanh-Binh Nguyen

  • Doctor Philosophy

    Improving rational antibody design using machine learning

    Principal Advisor

  • Doctor Philosophy

    Machine Learning for Protein Dynamics: Predicting Post-Translational Modifications and Mutation Effects

    Principal Advisor

  • Doctor Philosophy

    Using Deep Learning in Cell & Gene Therapy

    Principal Advisor

    Other advisors: Dr Thanh-Binh Nguyen, Dr Stephanie Portelli

  • Doctor Philosophy

    Protein structure guided precision medicine

    Principal Advisor

    Other advisors: Professor Phil Hugenholtz, Dr Stephanie Portelli

  • Doctor Philosophy

    Rational protein engineering and inhibition

    Principal Advisor

  • Doctor Philosophy

    Unravelling the Physicochemical Drivers of Biomolecular Self-Assembly though Multiscale Simulations

    Associate Advisor

    Other advisors: Dr Evelyne Deplazes, Professor Megan O'Mara

  • Doctor Philosophy

    Breaking the chain of inflammation through targetting NLR proteins

    Associate Advisor

    Other advisors: Professor Avril Robertson

  • Doctor Philosophy

    Therapeutic Resolution of Inflammation in the Central Nervous System for Neuroprotection in Parkinson's Disease

    Associate Advisor

    Other advisors: Professor Avril Robertson

  • Doctor Philosophy

    Use of structural phylogeny and reconciliation in molecular phylogenetics

    Associate Advisor

    Other advisors: Dr Kate Bowerman, Professor Phil Hugenholtz

  • Doctor Philosophy

    Computational design of targeted lipid technologies

    Associate Advisor

    Other advisors: Professor Megan O'Mara

Media

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