Speak to a Protein: An Interactive Multimodal Co-Scientist for Protein Analysis

IF 6.4 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2026-10-12 Epub Date: 2026-09-30 DOI:10.1021/acs.jcim.6c01738
Carles Navarro, Mariona Torrens-Fontanals, Philipp Tholke, Stefan Doerr, Gianni de Fabritiis
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Abstract

Building a working mental model of a protein typically requires weeks of reading, cross-referencing crystal and predicted structures, and inspecting ligand complexes, an effort that is slow, unevenly accessible, and often requires specialized computational skills. We introduce Speak to a Protein, a new capability that turns protein analysis into an interactive, multimodal dialogue with an expert coscientist. The AI system retrieves and synthesizes relevant literature, structures, and ligand data; grounds answers in a live 3D scene; and can highlight, annotate, manipulate, and see the visualization. It also generates and runs code when needed, explaining results in both text and graphics. We demonstrate these capabilities on relevant proteins, posing questions about binding pockets, conformational changes, or structure-activity relationships to test ideas in real time. Speak to a Protein reduces the time from question to evidence, lowers the barrier to advanced structural analysis, and enables hypothesis generation by tightly coupling language, code, and 3D structures. Speak to a Protein is freely accessible at https://open.playmolecule.org.

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与蛋白质对话:蛋白质分析的互动多模式合作科学家
构建蛋白质的工作心智模型通常需要数周的阅读,交叉参考晶体和预测结构,并检查配体复合物,这是一项缓慢,不均匀的工作,并且通常需要专门的计算技能。我们介绍了与蛋白质对话,这是一种新的功能,可以将蛋白质分析转变为与专家共同科学家的互动,多模式对话。人工智能系统检索并综合相关文献、结构和配体数据;在现场3D场景中给出答案;并且可以突出显示、注释、操作和查看可视化。它还在需要时生成并运行代码,以文本和图形的形式解释结果。我们在相关蛋白质上展示了这些能力,提出了有关结合口袋、构象变化或结构-活性关系的问题,以实时测试想法。Speak to a Protein减少了从问题到证据的时间,降低了进行高级结构分析的障碍,并通过紧密耦合的语言、代码和3D结构实现假设生成。Speak to a Protein可以在https://open.playmolecule.org免费访问。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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