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2026

Journal Article

SGGly: a web server for whole-protein, structure-guided analysis of candidate N-linked glycosylation sites

Gu, Xiaotong, Zhou, Yunzhuo, Myung, Yoochan and Ascher, David (2026). SGGly: a web server for whole-protein, structure-guided analysis of candidate N-linked glycosylation sites. Nucleic Acids Research, 54 (W1) gkag507, W314-W320. doi: 10.1093/nar/gkag507

SGGly: a web server for whole-protein, structure-guided analysis of candidate N-linked glycosylation sites

2026

Other Outputs

Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics

Schmid, Madeline, Liu, Yixiao, Malik, Ashar J. and Ascher, David B. (2026). Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics. doi: 10.64898/2026.05.06.722973

Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics

2026

Other Outputs

Multi-omics dataset of TGF-β-induced EMT in breast cancer

Zhang, Zhen, Ahmed, Emtiaz, Constantin, Nicholas, Lu, Jennifer, Portelli, Stephanie, Ascher, David, Korbie, Darren, Wuethrich, Alain, Sina, Abu and Trau, Matt (2026). Multi-omics dataset of TGF-β-induced EMT in breast cancer. The University of Queensland. (Dataset) doi: 10.48610/954d1e6

Multi-omics dataset of TGF-β-induced EMT in breast cancer

2026

Journal Article

Transformers as a substrate for structural biology

Malik, Ashar J., Portelli, Stephanie and Ascher, David B. (2026). Transformers as a substrate for structural biology. Current Opinion in Structural Biology, 97 103218, 1-9. doi: 10.1016/j.sbi.2025.103218

Transformers as a substrate for structural biology

2026

Other Outputs

The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies

Malik, Ashar J. and Ascher, David B. (2026). The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies. doi: 10.64898/2026.03.25.713827

The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies

2026

Journal Article

A three generation family with VACTERL association is found to have a rare form of diamond-blackfan anaemia

Leshchynska, Iryna, Das, Debjani, O’Reilly, Victoria, Sipka, Alena, Iyer, Kavitha, Alankarage, Dimuthu, Rath, Emma, Kumar, Akshita, Kurt, Beth A., Voydanoff, Maria E., The Congenital Heart Disease Synergy Study group, Winlaw, David, Nassar, Natasha, Kirk, Edwin, Stevenson, Roger E., Winlaw, David S., Ascher, David B., Giannoulatou, Eleni, Mark, Paul R., Dunwoodie, Sally L. and Chapman, Gavin (2026). A three generation family with VACTERL association is found to have a rare form of diamond-blackfan anaemia. European Journal of Human Genetics, 34 (5), 619-629. doi: 10.1038/s41431-026-02076-z

A three generation family with VACTERL association is found to have a rare form of diamond-blackfan anaemia

2026

Journal Article

Structome-TM: Complementing dataset assembly for structural phylogenetics by addressing size-based biases

Malik, Ashar J. and Ascher, David B. (2026). Structome-TM: Complementing dataset assembly for structural phylogenetics by addressing size-based biases. Bioinformatics Advances, 6 (1) vbag035, 1-6. doi: 10.1093/bioadv/vbag035

Structome-TM: Complementing dataset assembly for structural phylogenetics by addressing size-based biases

2026

Journal Article

mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding

Kumar, Akshita, Malik, Ashar J. and Ascher, David B. (2026). mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding. Journal of Molecular Biology 169678, 169678. doi: 10.1016/j.jmb.2026.169678

mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding

2026

Journal Article

Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK Biobank

Huang, Katherine, Muneeb, Muhammad, Thomas, Natalie, Schneider-Futschik, Elena K., Gooley, Paul R., Ascher, David B. and Armstrong, Christopher W. (2026). Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK Biobank. iScience, 29 (1) 114316, 1-13. doi: 10.1016/j.isci.2025.114316

Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK Biobank

2026

Journal Article

Structome-AlignViewer: On Confidence Assessment in Structure-Aware Alignments

Malik, Ashar J., Mao, Siying, Hugenholtz, Philip and Ascher, David B. (2026). Structome-AlignViewer: On Confidence Assessment in Structure-Aware Alignments. Genome Biology and Evolution, 18 (1) evag004, 1-8. doi: 10.1093/gbe/evag004

Structome-AlignViewer: On Confidence Assessment in Structure-Aware Alignments

2026

Journal Article

Systematic evaluation of computational tools to predict the effects of mutations on protein-ligand binding affinity in the absence of experimental structures

Pan, Qisheng, Portelli, Stephanie, Nguyen, Thanh Binh and Ascher, David B. (2026). Systematic evaluation of computational tools to predict the effects of mutations on protein-ligand binding affinity in the absence of experimental structures. Briefings in Bioinformatics, 27 (1) bbag035, 1-17. doi: 10.1093/bib/bbag035

Systematic evaluation of computational tools to predict the effects of mutations on protein-ligand binding affinity in the absence of experimental structures

2026

Journal Article

kinCSM-RTK: machine learning-based screening of receptor tyrosine kinase inhibitors in drug discovery

Serghini, Adam, Zhou, Yunzhuo, Myung, Yoochan, de Sá, Alex G. C., Portelli, Stephanie and Ascher, David B. (2026). kinCSM-RTK: machine learning-based screening of receptor tyrosine kinase inhibitors in drug discovery. Journal of Chemical Information and Modeling, 66 (1) acs.jcim.5c01677, 61-73. doi: 10.1021/acs.jcim.5c01677

kinCSM-RTK: machine learning-based screening of receptor tyrosine kinase inhibitors in drug discovery

2025

Conference Publication

UPF1 variants cause syndromic intellectual disability with a transcriptome profile convergent with fragile X syndrome (Award Candidate)

Tan, Natalie B., Jolly, Lachlan, Nawaz, Urwah, Zhao, Sarah F., Gyurkovska, Valeriya, Silk, Michael, Montazaribarforoushi, Saba, Nicolas-Martinez, Emmylou, Carroll, Renee, van Eyk, Clare, Baer, Lachlan, Ascher, David B., Christodoulou, John, Segev, Nava, Gecz, Jozef and White, Susan M. (2025). UPF1 variants cause syndromic intellectual disability with a transcriptome profile convergent with fragile X syndrome (Award Candidate). 58th European Society of Human Genetics (ESHG) Conference, Milan, Italy, 24–27 May 2025. London, United Kingdom: Nature Publishing Group.

UPF1 variants cause syndromic intellectual disability with a transcriptome profile convergent with fragile X syndrome (Award Candidate)

2025

Conference Publication

Integrating genetic datasets to improve Genotype-Phenotype prediction

Muneeb, Muhammad and Ascher, David (2025). Integrating genetic datasets to improve Genotype-Phenotype prediction. 58th European Society of Human Genetics (ESHG) Conference, Milan, Italy, 24 - 27 May 2025. London, United Kingdom: Nature Publishing Group.

Integrating genetic datasets to improve Genotype-Phenotype prediction

2025

Journal Article

Haploinsufficient variants in SMAD5 are associated with isolated congenital heart disease

Alankarage, Dimuthu, Leshchynska, Iryna, Portelli, Stephanie, Sipka, Alena, Blue, Gillian M., O'Reilly, Victoria, Das, Debjani, Rath, Emma M., Enriquez, Annabelle, Troup, Michael, Fine, Miriam, Poplawski, Nicola, Verlee, Maxim, Humphreys, David T., Harvey, Richard P., Chapman, Gavin, Kirk, Edwin P., Winlaw, David S., Callewaert, Bert, Chung, Wendy K., Ascher, David, Giannoulatou, Eleni and Dunwoodie, Sally L. (2025). Haploinsufficient variants in SMAD5 are associated with isolated congenital heart disease. Human Genetics and Genomics Advances, 6 (4) 100478, 100478. doi: 10.1016/j.xhgg.2025.100478

Haploinsufficient variants in SMAD5 are associated with isolated congenital heart disease

2025

Journal Article

Combinatorial discovery of RAFT cationic polymers for mRNA delivery: structure–function insights from high-throughput screening and machine learning

Yang, Wenting, Li, Shangqian, Yu, Siqi, de Sá, Alex G. C., Ita, Tanmayee Sai Sivani, Liang, Tian, Forgham, Helen, Qiao, Ruirui, Li, Jiulong, Stayton, Patrick S., Ascher, David B., Meng, Huan, Whittaker, Andrew K. and Fu, Changkui (2025). Combinatorial discovery of RAFT cationic polymers for mRNA delivery: structure–function insights from high-throughput screening and machine learning. Biomacromolecules, 26 (11), 7724-7738. doi: 10.1021/acs.biomac.5c01236

Combinatorial discovery of RAFT cationic polymers for mRNA delivery: structure–function insights from high-throughput screening and machine learning

2025

Other Outputs

Quantome: a quantum surrogate model for biophysical landscapes

Malik, Ashar J. and Ascher, David B. (2025). Quantome: a quantum surrogate model for biophysical landscapes. doi: 10.1101/2025.08.06.668871

Quantome: a quantum surrogate model for biophysical landscapes

2025

Other Outputs

On a quantum-inspired kernel for classifying protein torsion angles

Malik, Ashar and Ascher, David (2025). On a quantum-inspired kernel for classifying protein torsion angles. doi: 10.1101/2025.08.05.668681

On a quantum-inspired kernel for classifying protein torsion angles

2025

Conference Publication

Interpreting machine learning pipelines produced by evolutionary AutoML for biochemical property prediction

de Sá, Alex G. C., Pappa, Gisele L., Freitas, Alex A. and Ascher, David B. (2025). Interpreting machine learning pipelines produced by evolutionary AutoML for biochemical property prediction. 2025 Genetic and Evolutionary Computation Conference Companion-GECCO, Malaga, Spain, 14-18 July 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3712255.3734339

Interpreting machine learning pipelines produced by evolutionary AutoML for biochemical property prediction

2025

Journal Article

Assessing the predicted impact of single amino acid substitutions in MAPK proteins for CAGI6 challenges

Turina, Paola, Petrosino, Maria, Enriquez Sandoval, Carlos A., Novak, Leonore, Pasquo, Alessandra, Alexov, Emil, Alladin, Muttaqi Ahmad, Ascher, David B., Babbi, Giulia, Bakolitsa, Constantina, Casadio, Rita, Cheng, Jianlin, Fariselli, Piero, Folkman, Lukas, Kamandula, Akash, Katsonis, Panagiotis, Li, Minghui, Li, Dong, Lichtarge, Olivier, Mahmud, Sajid, Martelli, Pier Luigi, Pal, Debnath, Panday, Shailesh Kumar, Pires, Douglas E. V., Portelli, Stephanie, Pucci, Fabrizio, Rodrigues, Carlos H. M., Rooman, Marianne, Savojardo, Castrense ... Capriotti, Emidio (2025). Assessing the predicted impact of single amino acid substitutions in MAPK proteins for CAGI6 challenges. Human Genetics, 144 (2-3) 245403, 265-280. doi: 10.1007/s00439-024-02724-8

Assessing the predicted impact of single amino acid substitutions in MAPK proteins for CAGI6 challenges