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Journal of Chemical Information and Modeling
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November 15, 2024
Combining a Chemical Language Model and the Structure-Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent Modifications
Hengwei Chen, Jürgen Bajorath
Scientific Reports
|
September 26, 2023
Meta-learning for transformer-based prediction of potent compounds
Hengwei Chen, Jürgen Bajorath
Scientific Reports
|
May 7, 2023
Designing highly potent compounds using a chemical language model
Hengwei Chen, Jürgen Bajorath
Journal of Cheminformatics
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May 22, 2024
Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model
Hengwei Chen, Jürgen Bajorath
Future Medicinal Chemistry
|
February 2, 2023
Chemical language models for applications in medicinal chemistry
Atsushi Yoshimori, Hengwei Chen, Jürgen Bajorath
RSC Medicinal Chemistry
|
July 19, 2024
Extension of multi-site analogue series with potent compounds using a bidirectional transformer-based chemical language model
Hengwei Chen, Atsushi Yoshimori, Jürgen Bajorath
BMC Public Health
|
November 13, 2024
Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China
Zhaohao Zhong, Shangmin Chen, Xiaowei Zhang, et al.
Journal of Computer-Aided Molecular Design
|
December 3, 2022
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds
Kohei Umedera, Atsushi Yoshimori, Hengwei Chen, et al.
Journal of Chemical Information and Modeling
|
June 13, 2019
Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance
Chunlai Feng, Hengwei Chen, Xianqin Yuan, et al.
Frontiers in Pharmacology
|
January 2, 2023
Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapies
Shengnan She, Hengwei Chen, Wei Ji, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Journal of Chemical Information and Modeling
|
November 15, 2024
Combining a Chemical Language Model and the Structure-Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent Modifications
Hengwei Chen, Jürgen Bajorath
Scientific Reports
|
September 26, 2023
Meta-learning for transformer-based prediction of potent compounds
Hengwei Chen, Jürgen Bajorath
Scientific Reports
|
May 7, 2023
Designing highly potent compounds using a chemical language model
Hengwei Chen, Jürgen Bajorath
Journal of Cheminformatics
|
May 22, 2024
Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model
Hengwei Chen, Jürgen Bajorath
Future Medicinal Chemistry
|
February 2, 2023
Chemical language models for applications in medicinal chemistry
Atsushi Yoshimori, Hengwei Chen, Jürgen Bajorath
RSC Medicinal Chemistry
|
July 19, 2024
Extension of multi-site analogue series with potent compounds using a bidirectional transformer-based chemical language model
Hengwei Chen, Atsushi Yoshimori, Jürgen Bajorath
BMC Public Health
|
November 13, 2024
Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China
Zhaohao Zhong, Shangmin Chen, Xiaowei Zhang, et al.
Journal of Computer-Aided Molecular Design
|
December 3, 2022
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds
Kohei Umedera, Atsushi Yoshimori, Hengwei Chen, et al.
Journal of Chemical Information and Modeling
|
June 13, 2019
Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance
Chunlai Feng, Hengwei Chen, Xianqin Yuan, et al.
Frontiers in Pharmacology
|
January 2, 2023
Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapies
Shengnan She, Hengwei Chen, Wei Ji, et al.
Page
of 2