Research on damage quantitative evaluation of laminated bamboo lumber under realistic fire exposure

Authors: Zhang, Yongwang ^a, Chen, Hengwei ^a, Cai, Xiaopin ^a, Wan, Xiaoya ^a, Zhang, Xiaofei ^b, Ou, Jiajia ^c, Ni, Weibin ^a, Ji, Keqian ^a, Zou, Zhijian ^a, Wang, Lu ^{a, ⁎}

Source: In Construction and Building Materials 25 April 2025 473

Detecting complex indels with wide length-spectrum from the third generation sequencing data

Authors: Zhang, Xuanping, Chen, Hengwei, Zhang, Rong, Pei, Jingwen, Wang, Yixuan, Zhao, Zhongmeng, Huang, Yi, Wang, Jiayin

Source: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. :1980-1987 Nov, 2017

Relation: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model.

Authors: Chen, Hengwei¹ (AUTHOR), Bajorath, Jürgen¹ (AUTHOR) bajorath@bit.uni-bonn.de

Source: Journal of Cheminformatics. 5/22/2024, Vol. 16 Issue 1, p1-13. 13p.

Subject Terms: *LANGUAGE models, *DEEP learning, *BIOCHEMICAL models, *AMINO acid sequence, *NATURAL language processing, *MACHINE translating, *NEUROLINGUISTICS

DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds

Authors: Chen, Hengwei, Vogt, Martin, Bajorath, Jürgen

Source: Digital discovery. 1(6):898-909

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100167251664.0x000001&indx=1&recIds=ETOCvdc_100167251664.0x000001

Chemical language models for applications in medicinal chemistry

Authors: Yoshimori, Atsushi, Chen, Hengwei, Bajorath, Jürgen

Source: Future medicinal chemistry. 15(1):119-121

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188400416.0x000001&indx=1&recIds=ETOCvdc_100188400416.0x000001

Meta-learning for transformer-based prediction of potent compounds.

Authors: Chen, Hengwei¹ (AUTHOR), Bajorath, Jürgen¹ (AUTHOR) bajorath@bit.uni-bonn.de

Source: Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-13. 13p.

Subject Terms: *DEEP learning, *DRUG discovery, *MACHINE learning, *LEARNING strategies, *FORECASTING, *CLASSROOM activities, *METADATA

RFAP: A Revocable Fine-Grained Access Control Mechanism for Autonomous Vehicle Platoon

Authors: Zhao, Yanan, Wang, Yunpeng, Cheng, Xiaochun, Chen, Hengwei, Yu, Haiyang, Ren, Yilong

Source: Intelligent transportation systems, IEEE transactions on. 23(7):9668-9679

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100156162415.0x000001&indx=1&recIds=ETOCvdc_100156162415.0x000001

Combining a Chemical Language Model and the Structure–Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent Modifications.

Authors: Chen, Hengwei, Bajorath, Jürgen

Source: Journal of Chemical Information & Modeling; 12/9/2024, Vol. 64 Issue 23, p8784-8795, 12p

Designing highly potent compounds using a chemical language model.

Authors: Chen, Hengwei¹ (AUTHOR), Bajorath, Jürgen¹ (AUTHOR) bajorath@bit.uni-bonn.de

Source: Scientific Reports. 5/7/2023, Vol. 13 Issue 1, p1-10. 10p.

Subject Terms: *LANGUAGE models, *CHEMICAL models, *PHARMACEUTICAL chemistry, *ARCHITECTURAL design, *DRUG design

DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds.

Authors: Umedera, Kohei^1,2, Yoshimori, Atsushi³, Chen, Hengwei², Kouji, Hiroyuki⁴, Nakamura, Hiroyuki^1,5, hiro@res.titech.ac.jp, Bajorath, Jürgen², bajorath@bit.uni-bonn.de

Source: Journal of Computer-Aided Molecular Design; Feb2023, Vol. 37 Issue 2, p107-115, 9p

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance

Authors: Feng, Chunlai, Chen, Hengwei, Yuan, Xianqin, Sun, Mengqiu, Chu, Kexin, Liu, Hanqin, Rui, Mengjie

Source: JOURNAL OF CHEMICAL INFORMATION AND MODELING. 59(7):3240-3250

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN632683343&indx=1&recIds=ETOCRN632683343

Extension of multi-site analogue series with potent compounds using a bidirectional transformer-based chemical language model.

Authors: Chen, Hengwei, Yoshimori, Atsushi, Bajorath, Jürgen

Source: RSC Medicinal Chemistry; Jul2024, Vol. 15 Issue 7, p2527-2537, 11p

RFAP: A Revocable Fine-Grained Access Control Mechanism for Autonomous Vehicle Platoon.

Authors: Zhao, Yanan, Wang, Yunpeng, Cheng, Xiaochun, Chen, Hengwei, Yu, Haiyang, Ren, Yilong

Source: IEEE Transactions on Intelligent Transportation Systems; Jul2022, Vol. 23 Issue 7, p9668-9679, 12p

Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data.

Authors: Sun, Mengqiu, She, Shengnan, Chen, Hengwei, Cheng, Jiaxi, Ji, Wei, Wang, Dan, Feng, Chunlai

Source: Journal of Bioinformatics & Computational Biology; Jun2022, Vol. 20 Issue 3, p1-21, 21p

Subject Terms: CHINESE medicine, BOOSTING algorithms, PREDICTION models, GENE expression, MACHINE learning, STANDARD deviations, GENE targeting

A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model.

Authors: Wang, Siqi, Yang, Jianping, Chen, Hengwei, Chu, Kexin, Yu, Xuefei, Wei, Yaqiong, Zhang, Haixia, Rui, Mengjie, Feng, Chunlai

Source: AAPS PharmSciTech; Jan2022, Vol. 23 Issue 1, p1-10, 10p