110 citations
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February 2024 in “Journal of Chemical Information and Modeling” This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.
17 citations
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April 2023 in “Aging” In this study, the authors used AI-driven methods to identify and prioritize promising therapeutic targets that may address both aging and Glioblastoma Multiforme, proposing CNGA3, GLUD1, and SIRT1 as novel candidates.
59 citations
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May 2014 in “Expert Opinion on Therapeutic Targets” This review discusses current therapeutic targets and treatments for androgenic alopecia but reports no clinical results; the authors highlight the challenge of developing multi-target drugs for effective treatment.
2 citations
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July 2025 in “Frontiers in Veterinary Science” This review highlights that microRNAs (miRNAs) play crucial roles in hair follicle development and cycling in cashmere goats, detailing recent advances in understanding their regulatory functions and potential applications in improving cashmere fiber quality and diagnosing hair disorders.
December 2022 in “Research Square (Research Square)” In this study, the researchers developed a quantum algorithm, QuantAnts machines, which identified complexes of CD9, CD34, and CD74 as potential targets for certain cancers involving the RAS pathway.