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Engineering and Technology
Singapore
2025

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
18321
World Ranking
763
National Ranking
11

Research.com Recognitions

  • 2025 - Research.com Engineering and Technology in Singapore Leader Award
  • 2022 - Research.com Engineering and Technology in Singapore Leader Award

Overview

Yu Zong Chen is affiliated with the National University of Singapore in Singapore. Their research spans multiple areas within biochemistry, genetics, and molecular biology, with significant contributions to medicine. The main fields of study include Biochemistry, Genetics and Molecular Biology, and Medicine.

Their work covers a range of subfields, notably Molecular Biology, Oncology, Computational Theory and Mathematics, Artificial Intelligence, and Physiology. Within these domains, they have focused on key research topics such as Computational Drug Discovery Methods, RNA modifications and cancer, Cancer-related molecular mechanisms research, RNA and protein synthesis mechanisms, RNA Research and Splicing, Metabolomics and Mass Spectrometry Studies, and Gut microbiota and health.

Yu Zong Chen has published extensively in several venues. The most frequent publication platforms include arXiv (Cornell University), Nucleic Acids Research, SSRN Electronic Journal, Scientific Reports, and bioRxiv (Cold Spring Harbor Laboratory).

Collaborations are a notable aspect of their research profile. Frequent co-authors include Xian Zeng, Shanshan Wang, Ying Tan, Feng Zhu, and Wan Xiang Shen.

Recent papers authored or co-authored by Yu Zong Chen illustrate a focus on therapeutic targets and drug discovery information, as well as the application of deep learning methods in pharmaceutical research. Selected recent publications include:

  • Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents (2021, Nucleic Acids Research)
  • TTD: Therapeutic Target Database describing target druggability information (2023, Nucleic Acids Research)
  • Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations (2021, Nature Machine Intelligence)
  • PI3K/Akt signaling pathway is essential for de novo hair follicle regeneration (2020, Stem Cell Research & Therapy)
  • DrugMAP: molecular atlas and pharma-information of all drugs (2022, Nucleic Acids Research)

Best Publications

  • Mechanisms of drug combinations: interaction and network perspectives.

    Jia Jia;Feng Zhu;Xiaohua Ma;Zhiwei W. Cao

  • Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics

    Yunxia Wang;Song Zhang;Fengcheng Li;Ying Zhou

  • SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence

    C. Z. Cai;L. Y. Han;Zhi Liang Ji;X. Chen

  • TTD: Therapeutic Target Database

    X. Chen;Zhi Liang Ji;Yu Zong Chen

  • Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics.

    Ying Hong Li;Chun Yan Yu;Chun Yan Yu;Xiao Xu Li;Xiao Xu Li;Peng Zhang

  • Ligand-protein inverse docking and its potential use in the computer search of protein targets of a small molecule.

    Y.Z. Chen;D.G. Zhi

  • Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence

    H. B. Rao;F. Zhu;G. B. Yang;Z. R. Li

  • HIT: linking herbal active ingredients to targets

    Hao Ye;Li Ye;Hong Kang;Duanfeng Zhang

  • Update of TTD: Therapeutic Target Database

    Feng Zhu;Bu-Cong Han;Pankaj Kumar;Xianghui Liu

  • What Contributes to Serotonin-Norepinephrine Reuptake Inhibitors' Dual-Targeting Mechanism? The Key Role of Transmembrane Domain 6 in Human Serotonin and Norepinephrine Transporters Revealed by Molecular Dynamics Simulation.

    Weiwei Xue;Weiwei Xue;Fengyuan Yang;Fengyuan Yang;Panpan Wang;Panpan Wang;Guoxun Zheng;Guoxun Zheng

  • Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information.

    Hong Yang;Chu Qin;Ying Hong Li;Lin Tao

  • Enzyme family classification by support vector machines.

    C.Z. Cai;L.Y. Han;Z.L. Ji;Y.Z. Chen

  • NPASS: natural product activity and species source database for natural product research, discovery and tool development.

    Xian Zeng;Peng Zhang;Weidong He;Chu Qin

  • Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation

    X Chen;H Zhou;Y B Liu;J F Wang

  • Therapeutic Targets: Progress of Their Exploration and Investigation of Their Characteristics

    C. J. Zheng;L. Y. Han;C. W. Yap;Z. L. Ji

  • Prediction of P-glycoprotein substrates by a support vector machine approach.

    Ying Xue;Chun Wei Yap;Li Zhi Sun;Zhi Wei Cao

  • Effect of molecular descriptor feature selection in support vector machine classification of pharmacokinetic and toxicological properties of chemical agents.

    Ying Xue;Ze-Rong Li;Chun Wei Yap;Li Zhi Sun

  • Prediction of potential toxicity and side effect protein targets of a small molecule by a ligand-protein inverse docking approach.

    Y.Z. Chen;C.Y. Ung

  • Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data.

    Qingxia Yang;Qingxia Yang;Bo Li;Jing Tang;Jing Tang;Xuejiao Cui;Xuejiao Cui

  • Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines.

    Chun Wei Yap;Yu Zong Chen

  • Protein function classification via support vector machine approach.

    C.Z Cai;W.L Wang;L.Z Sun;Y.Z Chen

  • Erratum: Mechanisms of drug combinations: interaction and network perspectives

    Jia Jia;Feng Zhu;Xiaohua Ma;Zhiwei W. Cao

Frequent Co-Authors

Feng Zhu
Feng Zhu Zhejiang University
Yuyang Jiang
Yuyang Jiang Tsinghua University
Honghuang Lin
Honghuang Lin Boston University
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Ying Tan
Ying Tan Peking University
Xiaojun Yao
Xiaojun Yao Macau University of Science and Technology
Baowen Li
Baowen Li Southern University of Science and Technology
Yixue Li
Yixue Li Chinese Academy of Sciences

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