👋 Welcome to BioF3's Paper Digest! Today's edition features 0 GitHub projects and 4 research papers from bioRxiv, arXiv, and PubMed.
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1. BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization
📄 arXiv Paper | Date:
2026-04-15| Category:q-bio.QM
Authors: Jackie Rao, Ferran Gonzalez Hernandez, Leon Gerard et al.
AI Research Digest (科研解读)
一句话概括 本研究提出了BOAT框架，利用多目标贝叶斯优化联合优化多种抗体性质，以解决抗体先导优化中的多属性平衡难题。
研究背景
抗体先导优化本质上是药物发现中的多目标挑战，需要在多种药物样属性间取得平衡。随着计算预测工具的激增，亟需一种高效的联合优化方法来替代资源消耗巨大的串行筛选流程。
方法创新
提出了BOAT这一“
2. Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization
📄 arXiv Paper | Date:
2026-04-14| Category:q-bio.QM
Authors: Aadyot Bhatnagar, Peter Mørch Groth, Ali Madani
AI Research Digest (科研解读)
3. RNA-binding protein LARP6 coordinates hepatic stellate cell activation and liver fibrosis.
📄 PubMed Article | Date:
2026 Feb 26| Category:The Journal of clinical investigation
Authors: Kim HY, Mizrahi O, Lee W et al.
AI Research Digest (科研解读)
4. Subphenogroups of acute heart failure with preserved ejection fraction: comprehensive proteomics and pathway analysis.
📄 PubMed Article | Date:
2026 Apr 10| Category:Heart (British Cardiac Society)
Authors: Sotomi Y, Matsuoka Y, Ebert C et al.
AI Research Digest (科研解读)
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