Intermediate knowledge enhanced the performance of the amide coupling yield prediction model Article Swipe

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Chonghuan Zhang , Qianghua Lin , Chenxi Yang , Yaxian Kong , Zhunzhun Yu , Kuangbiao Liao ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1039/d5sc03364k

Amide coupling, a key medicinal chemistry reaction, benefits from AI to minimize trial-and-error.

Related Topics

Lock And Key

Computer Science

Chemistry

Artificial Intelligence

Engineering

Materials Science

Organic Chemistry

Mechanical Engineering

Biology

Computer Security

Metallurgy

Concepts

Amide Yield (engineering) Key (lock) Coupling (piping) Combinatorial chemistry Computer science Chemistry Computational chemistry Artificial intelligence Biochemical engineering Biological system Engineering Materials science Organic chemistry Mechanical engineering Biology Computer security Metallurgy

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Type: article
Language: en
Landing Page: https://doi.org/10.1039/d5sc03364k
PDF: https://pubs.rsc.org/en/content/articlepdf/2025/sc/d5sc03364k
OA Status: diamond
Cited By: 2
References: 45
Related Works: 10
OpenAlex ID: https://openalex.org/W4411061101

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DOI: https://doi.org/10.1039/d5sc03364k

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Title: Intermediate knowledge enhanced the performance of the amide coupling yield prediction model

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Language: en

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Publication year: 2025

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Publication date: 2025-01-01

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Authors: Chonghuan Zhang, Qianghua Lin, Chenxi Yang, Yaxian Kong, Zhunzhun Yu, Kuangbiao Liao

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Landing page: https://doi.org/10.1039/d5sc03364k

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Concepts: Amide, Yield (engineering), Key (lock), Coupling (piping), Combinatorial chemistry, Computer science, Chemistry, Computational chemistry, Artificial intelligence, Biochemical engineering, Biological system, Engineering, Materials science, Organic chemistry, Mechanical engineering, Biology, Computer security, Metallurgy

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Cited by: 2

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