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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. doi: 10.3390/biom14040497

Mutations in glycosyltransferases and glycosidases: implications for associated diseases

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

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, 196 (9), 6059-6071. 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

2024

Journal Article

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

Turina, Paola, Dal Cortivo, Giuditta, Enriquez Sandoval, Carlos A., Alexov, Emil, Ascher, David B., Babbi, Giulia, Bakolitsa, Constantina, Casadio, Rita, Fariselli, Piero, Folkman, Lukas, Kamandula, Akash, Katsonis, Panagiotis, Li, Dong, Lichtarge, Olivier, Martelli, Pier Luigi, Panday, Shailesh Kumar, Pires, Douglas E. V., Portelli, Stephanie, Pucci, Fabrizio, Rodrigues, Carlos H. M., Rooman, Marianne, Savojardo, Castrense, Schwersensky, Martin, Shen, Yang, Strokach, Alexey V., Sun, Yuanfei, Woo, Junwoo, Radivojac, Predrag, Brenner, Steven E. ... Capriotti, Emidio (2024). Assessing the predicted impact of single amino acid substitutions in calmodulin for CAGI6 challenges. Human Genetics, 144 (2-3) 620793, 113-125. doi: 10.1007/s00439-024-02720-y

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

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

2023

Journal Article

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

Rodrigues, Carlos H. M. and Ascher, David B. (2023). CSM‐Potential2: A comprehensive deep learning platform for the analysis of protein interacting interfaces. Proteins: Structure, Function, and Bioinformatics, 93 (1), 209-216. doi: 10.1002/prot.26615

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

2023

Journal Article

Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences

Al-Jarf, Raghad, Karmakar, Malancha, Myung, Yoochan and Ascher, David B. (2023). Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences. Genes, 14 (10) 1890, 1-11. doi: 10.3390/genes14101890

Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences

2023

Journal Article

Identifying innate resistance hotspots for SARS-CoV-2 antivirals using in silico protein techniques

Portelli, Stephanie, Heaton, Ruby and Ascher, David B. (2023). Identifying innate resistance hotspots for SARS-CoV-2 antivirals using in silico protein techniques. Genes, 14 (9) 1699, 1-13. doi: 10.3390/genes14091699

Identifying innate resistance hotspots for SARS-CoV-2 antivirals using in silico protein techniques

2023

Journal Article

Understanding the complementarity and plasticity of antibody–antigen interfaces

Myung, Yoochan, Pires, Douglas E. V. and Ascher, David B (2023). Understanding the complementarity and plasticity of antibody–antigen interfaces. Bioinformatics, 39 (7) btad392, 1-7. doi: 10.1093/bioinformatics/btad392

Understanding the complementarity and plasticity of antibody–antigen interfaces

2023

Journal Article

LEGO-CSM: a tool for functional characterization of proteins

Nguyen, Thanh Binh, de Sá, Alex G. C., Rodrigues, Carlos H. M., Pires, Douglas E. V. and Ascher, David B. (2023). LEGO-CSM: a tool for functional characterization of proteins. Bioinformatics, 39 (7) btad402, 1-4. doi: 10.1093/bioinformatics/btad402

LEGO-CSM: a tool for functional characterization of proteins

2023

Journal Article

Identifying the molecular drivers of pathogenic aldehyde dehydrogenase missense mutations in cancer and non-cancer diseases

Jessen-Howard, Dana, Pan, Qisheng and Ascher, David B. (2023). Identifying the molecular drivers of pathogenic aldehyde dehydrogenase missense mutations in cancer and non-cancer diseases. International Journal of Molecular Sciences, 24 (12) 10157, 1-18. doi: 10.3390/ijms241210157

Identifying the molecular drivers of pathogenic aldehyde dehydrogenase missense mutations in cancer and non-cancer diseases

2023

Journal Article

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

Zhou, Yunzhuo, Pan, Qisheng, Pires, Douglas E. V., Rodrigues, Carlos H. M. and Ascher, David B. (2023). DDMut: predicting effects of mutations on protein stability using deep learning. Nucleic Acids Research, 51 (W1), W122-W128. doi: 10.1093/nar/gkad472

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

2023

Journal Article

epitope1D: accurate taxonomy-aware B-cell linear epitope prediction

da Silva, Bruna Moreira, Ascher, David B. and Pires, Douglas E. V. (2023). epitope1D: accurate taxonomy-aware B-cell linear epitope prediction. Briefings in Bioinformatics, 24 (3) bbad114, 1-8. doi: 10.1093/bib/bbad114

epitope1D: accurate taxonomy-aware B-cell linear epitope prediction

2023

Journal Article

Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies

Silk, Michael, de Sá, Alex, Olshansky, Moshe and Ascher, David B. (2023). Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies. International Journal of Molecular Sciences, 24 (6) 5114, 1-9. doi: 10.3390/ijms24065114

Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies

2023

Journal Article

CSM-Toxin: a web-server for predicting protein toxicity

Morozov, Vladimir, Rodrigues, Carlos H. M. and Ascher, David B. (2023). CSM-Toxin: a web-server for predicting protein toxicity. Pharmaceutics, 15 (2) 431, 1-8. doi: 10.3390/pharmaceutics15020431

CSM-Toxin: a web-server for predicting protein toxicity

2023

Journal Article

embryoTox: using graph-based signatures to predict the teratogenicity of small molecules

Aljarf, Raghad, Tang, Simon, Pires, Douglas E. V. and Ascher, David B. (2023). embryoTox: using graph-based signatures to predict the teratogenicity of small molecules. Journal of Chemical Information and Modeling, 63 (2), 432-441. doi: 10.1021/acs.jcim.2c00824

embryoTox: using graph-based signatures to predict the teratogenicity of small molecules