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Journal of Medicinal Chemistry|January 31, 2025
Discovery of Pyrrolopyrazine Carboxamide Derivatives as Potent and Selective FGFR2/3 Inhibitors that Overcome Mutant ResistanceYazhou Wang, Yihong Zhang, Jinxin Liu, et al.
Aging|June 14, 2023
Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discoveryAnatoly Urban, Denis Sidorenko, Diana Zagirova, et al.
Nature Communications|November 28, 2025
Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generationYazhou Wang, Xiaomin Wang, Tingting Liu, et al.
Aging|April 26, 2023
Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platformAndrea Olsen, Zachary Harpaz, Christopher Ren, et al.
Npj Aging|August 8, 2024
Precious2GPT: the combination of multiomics pretrained transformer and conditional diffusion for artificial multi-omics multi-species multi-tissue sample generationDenis Sidorenko, Stefan Pushkov, Akhmed Sakip, et al.
Aging Cell|October 27, 2023
A comprehensive AI-driven analysis of large-scale omic datasets reveals novel dual-purpose targets for the treatment of cancer and agingFrank W Pun, Geoffrey Ho Duen Leung, Hoi Wing Leung, et al.
Aging and Disease|February 18, 2025
AI-Driven Robotics Laboratory Identifies Pharmacological TNIK Inhibition as a Potent Senomorphic AgentQiuqiong Tang, Deyong Xiao, Alexander Veviorskiy, et al.
Oncotarget|March 1, 2018
Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of <i>COX7A1</i> in embryonic and cancer cellsMichael D West, Ivan Labat, Hal Sternberg, et al.
Aging|September 7, 2015
Geroprotectors.org: a new, structured and curated database of current therapeutic interventions in aging and age-related diseaseAlexey Moskalev, Elizaveta Chernyagina, João Pedro de Magalhães, et al.
Plos Computational Biology|July 14, 2021
COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severityVladimir Naumov, Evgeny Putin, Stefan Pushkov, et al.
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