播客系列标题:《AI化学前沿:分子革命》
单集标题: 第二集:分子表示:AI的化学语言
播客大纲
Episode 2: Molecular Representation: Translating Chemistry for AI(Total Time: ~35 minutes)
Guests:
Dr. Peter Ertl(Novartis) - Expert in Cheminformatics and Molecular Descriptors.
Dr. Bharath Ramsundar(Google/DeepChem) - Expert in Deep Learning for Chemistry and Biology.
Focus:Deep dive into different molecular representations (SMILES, InChI, Molecular Graphs, Fingerprints, 2D/3D Coordinates, Descriptors). Discuss their strengths, weaknesses, and suitability for different ML tasks. Discuss tools like RDKit, Open Babel, ChemDes, PaDEL-Descriptor, etc. (Table 3). Cover the challenges of choosing the right representation and the importance of domain expertise (as mentioned in Section 4). Discuss descriptor selection and computational cost considerations.
文献标题:2024《Machine learning advancements in organic synthesis: A focused exploration of artificial intelligence applications in chemistry》
虚拟播客利用gemini、kimi和星声AI生成,解读不一定准确,完整文本待统一发布。