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2024

Journal Article

Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus

Soh, Cheng Hwee, de Sá, Alex G. C., Potter, Elizabeth, Halabi, Amera, Ascher, David B. and Marwick, Thomas H. (2024). Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus. Cardiovascular Diabetology, 23 (1) 91. doi: 10.1186/s12933-024-02141-1

Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus

2024

Journal Article

Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis

Sen, Jonathan, Wahi, Sudhir, Vollbon, William, Prior, Marcus, de Sá, Alex G.C., Ascher, David B., Huynh, Quan and Marwick, Thomas H. (2024). Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis. JACC: Cardiovascular Imaging. doi: 10.1016/j.jcmg.2024.06.013

Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis

2024

Journal Article

<scp>MTR3D</scp>‐<scp>AF2</scp>: Expanding the coverage of spatially derived missense tolerance scores across the human proteome using <scp>AlphaFold2</scp>

Kovacs, Aaron S., Portelli, Stephanie, Silk, Michael, Rodrigues, Carlos H. M. and Ascher, David B. (2024). MTR3D‐AF2: Expanding the coverage of spatially derived missense tolerance scores across the human proteome using AlphaFold2. Protein Science, 33 (8) e5112, e5112. doi: 10.1002/pro.5112

<scp>MTR3D</scp>‐<scp>AF2</scp>: Expanding the coverage of spatially derived missense tolerance scores across the human proteome using <scp>AlphaFold2</scp>

2024

Journal Article

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

Gu, Xiaotong, Myung, Yoochan, Rodrigues, Carlos H. M. and Ascher, David B. (2024). EFG‐CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models. Protein Science, 33 (8) e5096, e5096. doi: 10.1002/pro.5096

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

2024

Journal Article

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

Craig, Olivia, Lee, Samuel, Pilcher, Courtney, Saoud, Rita, Abdirahman, Suad, Salazar, Carolina, Williams, Nathan, Ascher, David B, Vary, Robert, Luu, Jennii, Cowley, Karla J, Ramm, Susanne, Li, Mark Xiang, Thio, Niko, Li, Jason, Semple, Tim, Simpson, Kaylene J, Gorringe, Kylie L and Holien, Jessica K (2024). A new method for network bioinformatics identifies novel drug targets for mucinous ovarian carcinoma. NAR Genomics and Bioinformatics, 6 (3) lqae096. doi: 10.1093/nargab/lqae096

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

2024

Journal Article

PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction

Uthayopas, Korawich, de Sá, Alex G.C., Alavi, Azadeh, Pires, Douglas E.V. and Ascher, David B. (2024). PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction. Computational and Structural Biotechnology Journal, 23, 3030-3039. doi: 10.1016/j.csbj.2024.06.030

PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction

2024

Journal Article

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

Zhou, Yunzhuo, Myung, YooChan, Rodrigues, Carlos H M and Ascher, David B (2024). DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning. Nucleic Acids Research, 52 (W1), W207-W214. doi: 10.1093/nar/gkae412

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

2024

Journal Article

Targeting the Plasmodium falciparum UCHL3 ubiquitin hydrolase using chemically constrained peptides

King, Harry R., Bycroft, Mark, Nguyen, Thanh-Binh, Kelly, Geoff, Vinogradov, Alexander A., Rowling, Pamela J E, Stott, Katherine, Ascher, David B., Suga, Hiroaki, Itzhaki, Laura S. and Artavanis-Tsakonas, Katerina (2024). Targeting the Plasmodium falciparum UCHL3 ubiquitin hydrolase using chemically constrained peptides. Proceedings of the National Academy of Sciences of the United States of America, 121 (21) e2322923121. doi: 10.1073/pnas.2322923121

Targeting the Plasmodium falciparum UCHL3 ubiquitin hydrolase using chemically constrained peptides

2024

Journal Article

Engineering G protein‐coupled receptors for stabilization

Velloso, João Paulo L., de Sá, Alex G. C., Pires, Douglas E. V. and Ascher, David B. (2024). Engineering G protein‐coupled receptors for stabilization. Protein Science, 33 (6) e5000, e5000. doi: 10.1002/pro.5000

Engineering G protein‐coupled receptors for stabilization

2024

Journal Article

Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification

Ryu, Jayoung, Barkal, Sam, Yu, Tian, Jankowiak, Martin, Zhou, Yunzhuo, Francoeur, Matthew, Phan, Quang Vinh, Li, Zhijian, Tognon, Manuel, Brown, Lara, Love, Michael I., Bhat, Vineel, Lettre, Guillaume, Ascher, David B., Cassa, Christopher A., Sherwood, Richard I. and Pinello, Luca (2024). Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification. Nature Genetics, 56 (5), 1-13. doi: 10.1038/s41588-024-01726-6

Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification

2024

Journal Article

Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases

Gu, Xiaotong, Kovacs, Aaron S., Myung, Yoochan and Ascher, David B. (2024). Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases. Biomolecules, 14 (4) 497, 497. doi: 10.3390/biom14040497

Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases

2024

Journal Article

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

Myung, Yoochan, de Sá, Alex G C and Ascher, David B (2024). Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction. Nucleic Acids Research, 52 (W1), W469-W475. doi: 10.1093/nar/gkae254

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

2024

Journal Article

Are manufacturing patents to blame for biosimilar market launch delays?

Williamson, Rhys, Munro, Trent, Ascher, David, Robertson, Avril and Pregelj, Lisette (2024). Are manufacturing patents to blame for biosimilar market launch delays?. Value in Health, 27 (3), 287-293. doi: 10.1016/j.jval.2023.12.005

Are manufacturing patents to blame for biosimilar market launch delays?

2024

Journal Article

A metabolic signature for NADSYN1-dependent congenital NAD deficiency disorder

Szot, Justin O., Cuny, Hartmut, Martin, Ella M.M.A., Sheng, Delicia Z., Iyer, Kavitha, Portelli, Stephanie, Nguyen, Vivien, Gereis, Jessica M., Alankarage, Dimuthu, Chitayat, David, Chong, Karen, Wentzensen, Ingrid M., Vincent-Delormé, Catherine, Lermine, Alban, Burkitt-Wright, Emma, Ji, Weizhen, Jeffries, Lauren, Pais, Lynn S., Tan, Tiong Y., Pitt, James, Wise, Cheryl A., Wright, Helen, Andrews, Israel D., Pruniski, Brianna, Grebe, Theresa A., Corsten-Janssen, Nicole, Bouman, Katelijne, Poulton, Cathryn, Prakash, Supraja ... Dunwoodie, Sally L. (2024). A metabolic signature for NADSYN1-dependent congenital NAD deficiency disorder. Journal of Clinical Investigation, 134 (4) 174824. doi: 10.1172/jci174824

A metabolic signature for NADSYN1-dependent congenital NAD deficiency disorder

2024

Journal Article

AI-driven GPCR analysis, engineering, and targeting

Velloso, João P.L., Kovacs, Aaron S., Pires, Douglas E.V. and Ascher, David B. (2024). AI-driven GPCR analysis, engineering, and targeting. Current Opinion in Pharmacology, 74 102427. doi: 10.1016/j.coph.2023.102427

AI-driven GPCR analysis, engineering, and targeting

2024

Journal Article

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

Rodrigues, Carlos H. M., Portelli, Stephanie and Ascher, David B. (2024). Exploring the effects of missense mutations on protein thermodynamics through structure-based approaches: findings from the CAGI6 challenges. Human Genetics, 1-9. doi: 10.1007/s00439-023-02623-4

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

2024

Journal Article

A broad-spectrum α-glucosidase of glycoside hydrolase family 13 from Marinovum sp., a member of the Roseobacter clade

Li, Jinling, Mui, Janice W.-Y., da Silva, Bruna M., Pires, Douglas E.V., Ascher, David B., Madiedo Soler, Niccolay, Goddard-Borger, Ethan D. and Williams, Spencer J. (2024). A broad-spectrum α-glucosidase of glycoside hydrolase family 13 from Marinovum sp., a member of the Roseobacter clade. Applied Biochemistry and Biotechnology, 1-13. doi: 10.1007/s12010-023-04820-3

A broad-spectrum α-glucosidase of glycoside hydrolase family 13 from Marinovum sp., a member of the Roseobacter clade

2024

Journal Article

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

Pan, Qisheng, Portelli, Stephanie, Nguyen, Thanh Binh and Ascher, David B. (2024). Characterization on the oncogenic effect of the missense mutations of p53 via machine learning. Briefings in Bioinformatics, 25 (1) bbad428, 1-13. doi: 10.1093/bib/bbad428

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

2024

Journal Article

Lipid sulfoxide polymers as potential inhalable drug delivery platforms with differential albumin binding affinity

Ediriweera, Gayathri R., Butcher, Neville J., Kothapalli, Ashok, Zhao, Jiacheng, Blanchfield, Joanne T., Subasic, Christopher N., Grace, James L., Fu, Changkui, Tan, Xiao, Quinn, John F., Ascher, David B., Whittaker, Michael R., Whittaker, Andrew K. and Kaminskas, Lisa M. (2024). Lipid sulfoxide polymers as potential inhalable drug delivery platforms with differential albumin binding affinity. Biomaterials Science, 12 (11), 2978-2992. doi: 10.1039/d3bm02020g

Lipid sulfoxide polymers as potential inhalable drug delivery platforms with differential albumin binding affinity

2023

Journal Article

Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease

Serghini, Adam, Portelli, Stephanie, Troadec, Guillaume, Song, Catherine, Pan, Qisheng, Pires, Douglas E. V. and Ascher, David B. (2023). Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease. Human Molecular Genetics, 33 (3), 224-232. doi: 10.1093/hmg/ddad181

Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease