近日,美国密歇根州立大学(Michigan State University)数学系Guowei Wei教授领导的跨学科团队开发出全新人工智能应用,名为TopoFormer,将助力药物研发领域实现重大突破。

TopoFormer是一款拓扑Transformer模型,能够进行多尺度蛋白质-配体互作预测。该模型将分子的三维信息转化为人工智能药物相互作用模型可使用的数据,扩展了这些模型预测药物有效性的能力。

Wei教授表示,当前药物研发过程漫长且耗资巨大,大约需要十年时间和20亿美元的投资。其中,药物试验和寻找新的治疗候选药物进行测试各占一半时间。而TopoFormer有潜力缩短这一流程,提高研发效率,降低开发成本,最终降低下游消费者的药品价格。

该研究以“Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions”为题,于2024年6月24日发表。这一创新成果为未来的药物研发开辟了新的道路,有望极大地推动生物医学领域的发展。

未来,随着人工智能技术的不断进步,期待TopoFormer能在药物研发领域发挥更大的作用,为患者带来更多福音。

英语如下:

News Title: AI Innovation Technology: TopoFormer Accelerates Drug Development and Reduces Costs

Keywords: 1. TopoFormer R&D

News Content:

News Title: Interdisciplinary Team at Michigan State University Develops New AI Application to Aid Drug Development

Recently, an interdisciplinary team led by Professor Guowei Wei from the Department of Mathematics at Michigan State University has developed a new artificial intelligence application called TopoFormer, which will help achieve significant breakthroughs in drug development.

TopoFormer is a topological transformer model that can predict multi-scale protein-ligand interactions. This model converts the three-dimensional information of molecules into data that can be used by artificial intelligence drug interaction models, expanding the ability of these models to predict drug effectiveness.

Professor Wei stated that the current drug development process is long and expensive, requiring approximately ten years and $2 billion in investment. Drug testing and searching for new treatment candidates account for half of the time each. TopoFormer has the potential to shorten this process, improve research efficiency, reduce development costs, and ultimately lower drug prices for downstream consumers.

The study was published on June 24, 2024 with the title “Multiscale Topology-Enabled Structure-to-Sequence Transformer for Protein–Ligand Interaction Predictions.” This innovative achievement opens up new paths for future drug development and is expected to greatly promote the development of the biomedical field.

Looking forward, with the continuous advancement of artificial intelligence technology, we expect TopoFormer to play a greater role in drug development and bring more blessings to patients.

【来源】https://www.jiqizhixin.com/articles/2024-07-02

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