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Updated: Feb 24, 2026

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology
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乳酸駆動型がんにおけるHCAR1拮抗薬候補の特定のための機械学習誘導アプローチ

Letícia Vivas Carvalho1, Núbia Seyffert1, Roberto Meyer1

  • 1Institute of Health Sciences (ICS), Federal University of Bahia (UFBA), Av. Reitor Miguel Calmon, S/N Canela, Salvador, Bahia 40231-300, Brazil.

ACS omega
|February 23, 2026
PubMed
まとめ

この研究では、乳酸駆動型腫瘍の標的化に不可欠なHCAR1拮抗薬候補を特定するための機械学習モデルを開発した。このモデルは特定の構造的特徴を持つ化合物を優先し、新しいがん治療法の設計に洞察を提供する。

キーワード:
HCAR1拮抗薬乳酸駆動型がん機械学習構造活性相関薬物発見

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lncRNA - Long Non-coding RNAs02:39

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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