エージェントが分子を提案する時代に、構造を「見る」技術をどう共有するか
エージェントが分子を提案する時代に、構造を「見る」技術をどう共有するか DeepMindのブログで「Agentic cheminformatics with Google Antigravity」が公開された。AntigravityとCheminformatics Skillsで創薬ワークフローを加速し、化合物を検索し、新規の剛直化マクロサイクルを提案する、という内容だ。エージェントが候補を出す速度は確実に上がっている。 ただ、現場で働く人ほど感じるはずだ。ボトルネックは「生成」から「理解と検証」へ移っている。ポケットに本当に入るのか、どの残基が水素結合に関与しているのか、相同体とどこが違うのか。テキストと2D図のまま議論すると、ここで認識がずれやすい。エージェントの出力を構造として眺める手段が、パイプラインの外側に必要になっている。 先週、自宅の狭いデスクで Quest 3…
DeepMind released "Agentic cheminformatics with Google Antigravity" on its blog, detailing how this technology accelerates drug discovery workflows by proposing new conformational macrocycles and searching for compounds. The speed of agents proposing candidates is significantly increasing, but the bottleneck lies between generation and understanding/verification.
It becomes difficult to recognize nuances when discussing with text and 2D diagrams alone, such as which residues participate in hydrogen bonding or how different they are from homologs. To truly grasp the output of agents, a way to view structures as assets outside the pipeline is needed.
Using Quest 3 with NexoPeek, the author was able to visually track the moment a ligand was absorbed into their pocket from a PDB file they dragged and dropped. By rotating fingers and using distance measurement triggers, they could see 2.8 Å hydrogen bonds pop up in real time, providing direct intuition on how the proposed macrocycle's "rigidization" affects the space.
This technology is designed as an "analysis workstation" rather than a mere viewer, offering features like data reconciliation across various databases, customizable binding, and electron density overlays. Additionally, it provides rendering options using MolViewSpec presets and AI prediction tools like PrankWeb, P2Rank, Foldseek, Ligand Inspector, and 2-atom trigger picks for calculating Ostrowski distances.
The author wonders if this technology will become a practical tool in real research settings or if its main purpose will be in education and outreach. They also question how well the pipeline integration design works, especially considering Meta Quest's accessibility for this purpose. Note that this is a visualization software for research and educational visualization, not meant for medical advice or diagnosis.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
