TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry

Abstract Artificial intelligence (AI) has transformed molecular prediction and design, yet these advances remain only partially integrated with experimental discovery. We define TechBio 3.0 as an emerging paradigm for closed-loop drug discovery that connects multimodal molecular representations, generative chemistry, and automated experimentation. We examine its early preclinical and clinical evidence, identify remaining technical and translational barriers, and argue that this convergence is beginning to define biotechnology’s next era.

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Publication Details

Journal
npj Drug Discovery.
Published
2026-10-09
DOI
https://doi.org/10.1038/s44386-026-00078-x
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry

Krish W. Ramadurai, Abhirup Banerjee
npj Drug Discovery.
Computational Drug Discovery Methods
article

TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry

Krish W. Ramadurai, Abhirup Banerjee
article en

Abstract

Abstract Artificial intelligence (AI) has transformed molecular prediction and design, yet these advances remain only partially integrated with experimental discovery. We define TechBio 3.0 as an emerging paradigm for closed-loop drug discovery that connects multimodal molecular representations, generative chemistry, and automated experimentation. We examine its early preclinical and clinical evidence, identify remaining technical and translational barriers, and argue that this convergence is beginning to define biotechnology’s next era.

npj Drug Discovery.Vol. 3(1)
University of Oxford (GB)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
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