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2024

Conference Publication

Identification and functional characterisation of ACTN1 variants in individuals with a distinct clinical subtype of frontonasal dysplasia without platelet disorder

Tan, Tiong Yang, Houweling, Peter, Huang, Shengping, Nguyen, Thanh-Binh, Yap, Patrick, van Dooren, Marieke, Mathijssen, Irene, Delatycki, Martin, Clucas, Luisa, North, Kathryn, Ascher, David, Bell, Katrina and Cox, Timothy C. (2024). Identification and functional characterisation of ACTN1 variants in individuals with a distinct clinical subtype of frontonasal dysplasia without platelet disorder. 57th European Society of Human Genetics (ESHG) Conference, Berlin, Germany, 1-4 June 2024. London, United Kingdom: Nature Publishing Group.

Identification and functional characterisation of ACTN1 variants in individuals with a distinct clinical subtype of frontonasal dysplasia without platelet disorder

2024

Conference Publication

Delineating the phenotypic spectrum of NSF-related disorders

Arkush, L., Coleman, J., Nguyen, T. B., Mulhern, S., Scott, D. Armstrong, Kaliakatsos, M., Lofquist, S., Lieffering, N., Ascher, D., Ben Zeev, B., Hildebrand, M., Scheffer, I. E., Sadleir, L., Gordon, S., Stephenson, S. E., McTague, A. and Howell, K. B. (2024). Delineating the phenotypic spectrum of NSF-related disorders. 15th European Epilepsy Congress, Rome, Italy, 7-11 September 2024. Hoboken, NJ, United States: Wiley-Blackwell Publishing. doi: 10.1111/epi.18151

Delineating the phenotypic spectrum of NSF-related disorders

2024

Conference Publication

Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction

de Sá, Alex G. C. and Ascher, David B. (2024). Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction. GECCO '24 Companion, Melbourne, VIC, Australia, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3638530.3664166

Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction

2024

Conference Publication

Accelerating GPCR discovery through AI and big data

Linhares Velloso, J. P., de Sa, A. G. C., Pires, D. E. V. and Ascher, D. B. (2024). Accelerating GPCR discovery through AI and big data. Mining biochemistry for human health and well‐being, 48th FEBS Congress, Milan, Italy, 29 June-3 July 2024. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/2211-5463.13837

Accelerating GPCR discovery through AI and big data

2016

Conference Publication

Tumour risks and genotype–phenotype–proteotype analysis of patients with germline mutations in the succinate dehydrogenase subunit genes SDHB, SDHC, and SDHD

Andrews, Katrina A., Vialard, Lindsey, Ascher, David B., Pires, Douglas E. V., Bradshaw, Nicola, Cole, Trevor, Cook, Jackie, Irving, Richard, Kumar, Ajith, Lalloo, Fiona, Izatt, Louise, Goudie, David, Woodward, Emma R. and Maher, Eamonn R. (2016). Tumour risks and genotype–phenotype–proteotype analysis of patients with germline mutations in the succinate dehydrogenase subunit genes SDHB, SDHC, and SDHD. Spring Meeting for Clinician Scientists in Training 2016, United Kingdom, 2016. London, United Kingdom: The Lancet Publishing Group. doi: 10.1016/s0140-6736(16)00406-2

Tumour risks and genotype–phenotype–proteotype analysis of patients with germline mutations in the succinate dehydrogenase subunit genes SDHB, SDHC, and SDHD