Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Diana Zagirova; Stefan Pushkov; Geoffrey Ho Duen Leung; Bonnie Hei Man Liu; Anatoly Urban; Denis Sidorenko; Aleksandr Kalashnikov; Ekaterina Kozlova; Vladimir Naumov; Frank W. Pun; Ivan V. Ozerov; Alex Aliper; Alex Zhavoronkov

doi:doi:10.18632/aging.205055

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Research Paper Volume 15, Issue 18 pp 9293—9309

Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Figure 6. Study of 9 genes that were ranked within the first 200 genes for each of the age-related diseases and aging by the BioGPT-G model. (A) The list of 14 age-related diseases previously studied by Pun et al. (B) Upset plot of the intersection of protein lists for 14 diseases and aging retrieved with BioGPT-G. The intersection comprising 2 or more genes intersected with the “Aging” list are shown.