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ORCIDDong-Sheng Cao 0001
Dongsheng Cao 0001
Person information
- affiliation: Central South University, School of Pharmaceutical Sciences, Changsha, China
- affiliation: Hong Kong Baptist University, School of Chinese Medicine, Hong Kong
Other persons with the same name
- Dong-Sheng Cao
- Dongsheng Cao 0002 — Anhui Medical University, Second Affiliated Hospital, Hefei, China
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2020 – today
- 2024
[j84]Linlin Hou
, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song:
Attribute-guided prototype network for few-shot molecular property prediction. Briefings Bioinform. 25(5) (2024)- [j83]Jinfu Peng, Jiacai Yi, Guoping Yang, Zhijun Huang, Dong-Sheng Cao:
ISTransbase: an online database for inhibitor and substrate of drug transporters. Database J. Biol. Databases Curation 2024 (2024) - [j82]Yun Kuang, Dongsheng Cao, Yonghui Zuo, Jinghan Yuan, Feng Lu, Yi Zou, Hong Wang, Dan Jiang, Qi Pei, Guoping Yang:
CPhaMAS: An online platform for pharmacokinetic data analysis based on optimized parameter fitting algorithm. Comput. Methods Programs Biomed. 248: 108137 (2024) - [j81]Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng:
Geometric deep learning for drug discovery. Expert Syst. Appl. 240: 122498 (2024) - [j80]Yuansheng Liu, Zhenran Zhou, Xiaofeng Cao, Dongsheng Cao, Xiangxiang Zeng:
Effective drug-target affinity prediction via generative active learning. Inf. Sci. 679: 121135 (2024) - [j79]Ning-Ning Wang, Bei Zhu, Xin-Liang Li, Shao Liu, Jian-Yu Shi, Dong-Sheng Cao:
Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities. J. Chem. Inf. Model. 64(1): 96-109 (2024) - [j78]Jianing Fan, Shao-Hua Shi, Hong Xiang, Li Fu, Yanjing Duan, Dong-Sheng Cao, Hongwei Lu:
Predicting Elimination of Small-Molecule Drug Half-Life in Pharmacokinetics Using Ensemble and Consensus Machine Learning Methods. J. Chem. Inf. Model. 64(8): 3080-3092 (2024) - [j77]Teng-Zhi Long, Dejun Jiang, Shao-Hua Shi, You-Chao Deng, Wen-Xuan Wang, Dong-Sheng Cao:
Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence. J. Chem. Inf. Model. 64(8): 3222-3236 (2024) - [j76]Chao Shen, Jianfei Song, Chang-Yu Hsieh, Dong-Sheng Cao, Yu Kang, Wenling Ye, Zhenxing Wu, Jike Wang, Odin Zhang, Xujun Zhang, Hao Zeng, Heng Cai, Yu Chen, Linkang Chen, Hao Luo, Xinda Zhao, Tianye Jian, Tong Chen, Dejun Jiang, Mingyang Wang, Qing Ye, Jialu Wu, Hongyan Du, Hui Shi, Yafeng Deng, Tingjun Hou:
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery. J. Chem. Inf. Model. 64(14): 5381-5391 (2024) - [j75]Jinfu Peng, Li Fu, Guoping Yang, Dongsheng Cao:
Advanced AI-Driven Prediction of Pregnancy-Related Adverse Drug Reactions. J. Chem. Inf. Model. 64(24): 9286-9298 (2024) - [i4]Tengfei Ma, Xuan Lin, Tianle Li, Chaoyi Li, Long Chen, Peng Zhou, Xibao Cai, Xinyu Yang, Daojian Zeng, Dong-Sheng Cao, Xiangxiang Zeng:
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development. CoRR abs/2410.11550 (2024) - 2023
- [j74]Lei Wang, Shao-Hua Shi, Hui Li, Xiangxiang Zeng, Su-You Liu, Zhao-Qian Liu, Yafeng Deng, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Reducing false positive rate of docking-based virtual screening by active learning. Briefings Bioinform. 24(1) (2023) - [j73]Kai-Yue Ji, Chong Liu, Zhao-Qian Liu, Yafeng Deng, Tingjun Hou, Dong-Sheng Cao:
Comprehensive assessment of nine target prediction web services: which should we choose for target fishing? Briefings Bioinform. 24(2) (2023) - [j72]Teng Liu, Zhao-Yu Fang, Xin Li, Li-Ning Zhang, Dong-Sheng Cao, Mingzhu Yin:
Graph deep learning enabled spatial domains identification for spatial transcriptomics. Briefings Bioinform. 24(3) (2023) - [j71]Ze-Ying Feng, Xue-Hong Wu, Jun-Long Ma, Min Li, Ge-Fei He, Dong-Sheng Cao, Guo-Ping Yang:
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications. Briefings Bioinform. 24(4) (2023) - [j70]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. Briefings Bioinform. 24(4) (2023) - [j69]Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai:
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15(1): 38 (2023) - [j68]Su-Qing Yang, Liu-Xia Zhang, You-Jin Ge, Jin-Wei Zhang, Jian-Xin Hu, Cheng-Ying Shen, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
In-silico target prediction by ensemble chemogenomic model based on multi-scale information of chemical structures and protein sequences. J. Cheminformatics 15(1): 48 (2023) - [j67]Teng-Zhi Long, Shao-Hua Shi, Shao Liu, Ai-Ping Lu, Zhao-Qian Liu, Min Li, Tingjun Hou, Dong-Sheng Cao:
Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches. J. Chem. Inf. Model. 63(1): 111-125 (2023) - [j66]Yanqing Duan, Li Fu, Xiao-Chen Zhang, Teng-Zhi Long, Yuan-Hang He, Zhao-Qian Liu, Ai-Ping Lu, Yafeng Deng, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao:
Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data. J. Chem. Inf. Model. 63(8): 2345-2359 (2023) - [j65]Jike Wang, Yundian Zeng, Huiyong Sun, Junmei Wang, Xiaorui Wang, Ruofan Jin, Mingyang Wang, Xujun Zhang, Dong-Sheng Cao, Xi Chen, Chang-Yu Hsieh, Tingjun Hou:
Molecular Generation with Reduced Labeling through Constraint Architecture. J. Chem. Inf. Model. 63(11): 3319-3327 (2023) - [j64]Gaoqi Weng, Xuanyan Cai, Dong-Sheng Cao, Hongyan Du, Chao Shen, Yafeng Deng, Qiaojun He, Bo Yang, Dan Li, Tingjun Hou:
PROTAC-DB 2.0: an updated database of PROTACs. Nucleic Acids Res. 51(D1): 1367-1372 (2023) - [c1]Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng:
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization. IJCAI 2023: 4940-4948 - [i3]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR abs/2306.05257 (2023) - 2022
- [j63]Mingyang Wang, Huiyong Sun, Jike Wang, Jinping Pang, Xin Chai, Lei Xu, Honglin Li, Dongsheng Cao, Tingjun Hou:
Comprehensive assessment of deep generative architectures for de novo drug design. Briefings Bioinform. 23(1) (2022) - [j62]Xi Yang, Wei Wang, Jing-Lun Ma, Yan-Long Qiu, Kai Lu, Dong-Sheng Cao, Chengkun Wu:
BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution. Briefings Bioinform. 23(1) (2022) - [j61]Dejun Jiang, Huiyong Sun, Jike Wang, Chang-Yu Hsieh, Yuquan Li, Zhenxing Wu, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning. Briefings Bioinform. 23(2) (2022) - [j60]Xiao-Chen Zhang, Jiacai Yi, Guo-Ping Yang, Chengkun Wu, Tingjun Hou, Dong-Sheng Cao:
ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images. Briefings Bioinform. 23(2) (2022) - [j59]Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou:
Knowledge-based BERT: a method to extract molecular features like computational chemists. Briefings Bioinform. 23(3) (2022) - [j58]Zhe Wang, Hong Pan, Huiyong Sun, Yu Kang, Huanxiang Liu, Dongsheng Cao, Tingjun Hou:
fastDRH: a webserver to predict and analyze protein-ligand complexes based on molecular docking and MM/PB(GB)SA computation. Briefings Bioinform. 23(5) (2022) - [j57]Jiacai Yi, Chengkun Wu, Xiao-Chen Zhang, Xinyi Xiao, Yanlong Qiu, Wentao Zhao, Tingjun Hou, Dong-Sheng Cao:
MICER: a pre-trained encoder-decoder architecture for molecular image captioning. Bioinform. 38(19): 4562-4572 (2022) - [j56]Ning-Ning Wang, Xiang-Gui Wang, Guo-Li Xiong, Zi-Yi Yang, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dong-Sheng Cao:
Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes. J. Cheminformatics 14(1): 23 (2022) - [j55]Gaoang Wang, Jiahui Yu, Hongyan Du, Chao Shen, Xujun Zhang, Yifei Liu, Yangyang Zhang, Dong-Sheng Cao, Peichen Pan, Tingjun Hou:
VGSC-DB: an online database of voltage-gated sodium channels. J. Cheminformatics 14(1): 75 (2022) - [j54]Liu-Xia Zhang, Jie Dong, Hui Wei, Shao-Hua Shi, Ai-Ping Lu, Gui-Ming Deng, Dong-Sheng Cao:
TCMSID: a simplified integrated database for drug discovery from traditional chinese medicine. J. Cheminformatics 14(1): 89 (2022) - [j53]Jiahui Yu, Jike Wang, Hong Zhao, Junbo Gao, Yu Kang, Dong-Sheng Cao, Zhe Wang, Tingjun Hou:
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism. J. Chem. Inf. Model. 62(12): 2973-2986 (2022) - [j52]Jialu Wu, Junmei Wang, Zhenxing Wu, Shengyu Zhang, Yafeng Deng, Yu Kang, Dong-Sheng Cao, Chang-Yu Hsieh, Tingjun Hou:
ALipSol: An Attention-Driven Mixture-of-Experts Model for Lipophilicity and Solubility Prediction. J. Chem. Inf. Model. 62(23): 5975-5987 (2022) - [j51]Guo-Li Xiong, Zhi-Jiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dongsheng Cao:
DDInter: an online drug-drug interaction database towards improving clinical decision-making and patient safety. Nucleic Acids Res. 50(D1): 1200-1207 (2022) - [i2]Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng:
Deep learning for drug repurposing: methods, databases, and applications. CoRR abs/2202.05145 (2022) - 2021
- [j50]Jie Dong, Min-Feng Zhu, Yong-Huan Yun, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
BioMedR: an R/CRAN package for integrated data analysis pipeline in biomedical study. Briefings Bioinform. 22(1): 474-484 (2021) - [j49]Chao Shen, Ye Hu, Zhe Wang, Xujun Zhang, Haiyang Zhong, Gaoang Wang, Xiaojun Yao, Lei Xu, Dong-Sheng Cao, Tingjun Hou:
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions. Briefings Bioinform. 22(1): 497-514 (2021) - [j48]Chao Shen, Ye Hu, Zhe Wang, Xujun Zhang, Jinping Pang, Gaoang Wang, Haiyang Zhong, Lei Xu, Dong-Sheng Cao, Tingjun Hou:
Beware of the generic machine learning-based scoring functions in structure-based virtual screening. Briefings Bioinform. 22(3) (2021) - [j47]Jike Wang, Dong-Sheng Cao, Cunchen Tang, Lei Xu, Qiaojun He, Bo Yang, Xi Chen, Huiyong Sun, Tingjun Hou:
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges. Briefings Bioinform. 22(3) (2021) - [j46]Guo-Li Xiong, Wenling Ye, Chao Shen, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Improving structure-based virtual screening performance via learning from scoring function components. Briefings Bioinform. 22(3) (2021) - [j45]Zi-Yi Yang, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Scopy: an integrated negative design python library for desirable HTS/VS database design. Briefings Bioinform. 22(3) (2021) - [j44]Zhenxing Wu, Minfeng Zhu, Yu Kang, Elaine Lai-Han Leung, Tailong Lei, Chao Shen, Dejun Jiang, Zhe Wang, Dong-Sheng Cao, Tingjun Hou:
Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets. Briefings Bioinform. 22(4) (2021) - [j43]Zi-Yi Yang, Jie Dong, Zhi-Jiang Yang, Mingzhu Yin, Hong-Li Jiang, Ai-Ping Lu, Xiang Chen, Tingjun Hou, Dong-Sheng Cao:
ChemFLuo: a web-server for structure analysis and identification of fluorescent compounds. Briefings Bioinform. 22(4) (2021) - [j42]Li Fu, Zi-Yi Yang, Zhi-Jiang Yang, Mingzhu Yin, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dong-Sheng Cao:
QSAR-assisted-MMPA to expand chemical transformation space for lead optimization. Briefings Bioinform. 22(5) (2021) - [j41]Chao Shen, Gaoqi Weng, Xujun Zhang, Elaine Lai-Han Leung, Xiaojun Yao, Jinping Pang, Xin Chai, Dan Li, Ercheng Wang, Dong-Sheng Cao, Tingjun Hou:
Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening? Briefings Bioinform. 22(5) (2021) - [j40]Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou:
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. 22(5) (2021) - [j39]Zi-Yi Yang, Zhi-Jiang Yang, Yue Zhao, Mingzhu Yin, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dong-Sheng Cao:
PySmash: Python package and individual executable program for representative substructure generation and application. Briefings Bioinform. 22(5) (2021) - [j38]Qing Ye, Xin Chai, Dejun Jiang, Liu Yang, Chao Shen, Xujun Zhang, Dan Li, Dong-Sheng Cao, Tingjun Hou:
Identification of active molecules against Mycobacterium tuberculosis through machine learning. Briefings Bioinform. 22(5) (2021) - [j37]Chengkun Wu, Xiao-Chen Zhang, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules. Briefings Bioinform. 22(6) (2021) - [j36]Xiao-Chen Zhang, Chengkun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jiacai Yi, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao:
MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction. Briefings Bioinform. 22(6) (2021) - [j35]Yue Zhao, Xiang-Gui Wang, Zhong-Ye Ma, Guo-Li Xiong, Zhi-Jiang Yang, Yan Cheng, Ai-Ping Lu, Zhi-Jun Huang, Dong-Sheng Cao:
Systematic comparison of ligand-based and structure-based virtual screening methods on poly (ADP-ribose) polymerase-1 inhibitors. Briefings Bioinform. 22(6) (2021) - [j34]Jike Wang, Huiyong Sun, Jiawen Chen, Dejun Jiang, Zhe Wang, Zhenxing Wu, Xi Chen, Dong-Sheng Cao, Tingjun Hou:
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms. Bioinform. 37(22): 4255-4257 (2021) - [j33]Xujun Zhang, Chao Shen, Xueying Guo, Zhe Wang, Gaoqi Weng, Qing Ye, Gaoang Wang, Qiaojun He, Bo Yang, Dong-Sheng Cao, Tingjun Hou:
ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions. J. Cheminformatics 13(1): 6 (2021) - [j32]Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics 13(1): 12 (2021) - [j31]Chao Shen, Xueping Hu, Junbo Gao, Xujun Zhang, Haiyang Zhong, Zhe Wang, Lei Xu, Yu Kang, Dong-Sheng Cao, Tingjun Hou:
The impact of cross-docked poses on performance of machine learning classifier for protein-ligand binding pose prediction. J. Cheminformatics 13(1): 81 (2021) - [j30]Zi-Yi Yang, Li Fu, Ai-Ping Lu, Shao Liu, Tingjun Hou, Dong-Sheng Cao:
Semi-automated workflow for molecular pair analysis and QSAR-assisted transformation space expansion. J. Cheminformatics 13(1): 86 (2021) - [j29]Hongyan Du, Junbo Gao, Gaoqi Weng, Jun-Jie Ding, Xin Chai, Jinping Pang, Yu Kang, Dan Li, Dong-Sheng Cao, Tingjun Hou:
CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors. Nucleic Acids Res. 49(Database-Issue): D1122-D1129 (2021) - [j28]Gaoqi Weng, Chao Shen, Dong-Sheng Cao, Junbo Gao, Xiaowu Dong, Qiaojun He, Bo Yang, Dan Li, Jian Wu, Tingjun Hou:
PROTAC-DB: an online database of PROTACs. Nucleic Acids Res. 49(Database-Issue): D1381-D1387 (2021) - [j27]Guo-Li Xiong, Zhenxing Wu, Jiacai Yi, Li Fu, Zhi-Jiang Yang, Chang-Yu Hsieh, Mingzhu Yin, Xiangxiang Zeng, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Tingjun Hou, Dong-Sheng Cao:
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Res. 49(Webserver-Issue): 5-14 (2021) - [j26]Jike Wang, Chang-Yu Hsieh, Mingyang Wang, Xiaorui Wang, Zhenxing Wu, Dejun Jiang, Benben Liao, Xujun Zhang, Bo Yang, Qiaojun He, Dongsheng Cao, Xi Chen, Tingjun Hou:
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning. Nat. Mach. Intell. 3(10): 914-922 (2021) - 2020
- [j25]Jike Wang, Dong-Sheng Cao, Cunchen Tang, Xi Chen, Huiyong Sun, Tingjun Hou:
Fast and accurate prediction of partial charges using Atom-Path-Descriptor-based machine learning. Bioinform. 36(18): 4721-4728 (2020) - [j24]Dejun Jiang, Tailong Lei, Zhe Wang, Chao Shen, Dong-Sheng Cao, Tingjun Hou:
ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning. J. Cheminformatics 12(1): 16 (2020) - [j23]Li Fu, Lu Liu, Zhi-Jiang Yang, Pan Li, Jun-Jie Ding, Yong-Huan Yun, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Systematic Modeling of log D7.4 Based on Ensemble Machine Learning, Group Contribution, and Matched Molecular Pair Analysis. J. Chem. Inf. Model. 60(1): 63-76 (2020) - [j22]Zi-Yi Yang, Jie Dong, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Structural Analysis and Identification of False Positive Hits in Luciferase-Based Assays. J. Chem. Inf. Model. 60(4): 2031-2043 (2020) - [j21]Wenling Ye, Chao Shen, Guo-Li Xiong, Jun-Jie Ding, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Improving Docking-Based Virtual Screening Ability by Integrating Multiple Energy Auxiliary Terms from Molecular Docking Scoring. J. Chem. Inf. Model. 60(9): 4216-4230 (2020)
2010 – 2019
- 2019
- [j20]Zi-Yi Yang, Zhi-Jiang Yang, Jie Dong, Liang-Liang Wang, Liu-Xia Zhang, Jun-Jie Ding, Xiao-Qin Ding, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Structural Analysis and Identification of Colloidal Aggregators in Drug Discovery. J. Chem. Inf. Model. 59(9): 3714-3726 (2019) - [j19]Zhenxing Wu, Tailong Lei, Chao Shen, Zhe Wang, Dong-Sheng Cao, Tingjun Hou:
ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches. J. Chem. Inf. Model. 59(11): 4587-4601 (2019) - 2018
- [j18]Zhi-Zhong Liu, Jia-Wei Huang, Yong Wang, Dong-Sheng Cao:
ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery. IEEE Access 6: 20950-20963 (2018) - [j17]Jie Dong, Zhi-Jiang Yao, Lin Zhang, Feijun Luo, Qinlu Lin, Ai-Ping Lu, Alex F. Chen, Dong-Sheng Cao:
PyBioMed: a python library for various molecular representations of chemicals, proteins and DNAs and their interactions. J. Cheminformatics 10(1): 16:1-16:11 (2018) - [j16]Jie Dong, Ning-Ning Wang, Zhi-Jiang Yao, Lin Zhang, Yan Cheng, Defang Ouyang, Ai-Ping Lu, Dong-Sheng Cao:
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database. J. Cheminformatics 10(1): 29:1-29:11 (2018) - [j15]Ning-Ning Wang, Jie Dong, Lin Zhang, Defang Ouyang, Yan Cheng, Alex F. Chen, Ai-Ping Lu, Dong-Sheng Cao:
HAMdb: a database of human autophagy modulators with specific pathway and disease information. J. Cheminformatics 10(1): 34:1-34:8 (2018) - [i1]Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dong-Sheng Cao, Defang Ouyang:
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction. CoRR abs/1812.09073 (2018) - 2017
- [j14]Jie Dong, Zhi-Jiang Yao, Min-Feng Zhu, Ning-Ning Wang, Ben Lu, Alex F. Chen, Aiping Lu, Hongyu Miao, Wen-Bin Zeng, Dong-Sheng Cao:
ChemSAR: an online pipelining platform for molecular SAR modeling. J. Cheminformatics 9(1): 27:1-27:13 (2017) - 2016
- [j13]Zhi-Jiang Yao, Jie Dong, Yu-Jing Che, Min-Feng Zhu, Ming Wen, Ning-Ning Wang, Shan Wang, Aiping Lu, Dong-Sheng Cao:
TargetNet: a web service for predicting potential drug-target interaction profiling via multi-target SAR models. J. Comput. Aided Mol. Des. 30(5): 413-424 (2016) - [j12]Jie Dong, Zhi-Jiang Yao, Ming Wen, Min-Feng Zhu, Ning-Ning Wang, Hongyu Miao, Aiping Lu, Wen-Bin Zeng, Dong-Sheng Cao:
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions. J. Cheminformatics 8(1): 34:1-34:13 (2016) - [j11]Ning-Ning Wang, Jie Dong, Yin-Hua Deng, Min-Feng Zhu, Ming Wen, Zhiqiang Yao, Aiping Lu, Jian-Bing Wang, Dong-Sheng Cao:
ADME Properties Evaluation in Drug Discovery: Prediction of Caco-2 Cell Permeability Using a Combination of NSGA-II and Boosting. J. Chem. Inf. Model. 56(4): 763-773 (2016) - 2015
- [j10]Dong-Sheng Cao, Nan Xiao, Qing-Song Xu, Alex F. Chen:
Rcpi: R/Bioconductor package to generate various descriptors of proteins, compounds and their interactions. Bioinform. 31(2): 279-281 (2015) - [j9]Nan Xiao, Dong-Sheng Cao, Min-Feng Zhu, Qing-Song Xu:
protr/ProtrWeb: R package and web server for generating various numerical representation schemes of protein sequences. Bioinform. 31(11): 1857-1859 (2015) - [j8]Jie Dong, Dong-Sheng Cao, Hongyu Miao, Shao Liu, Bai-Chuan Deng, Yong-Huan Yun, Ning-Ning Wang, Aiping Lu, Wen-Bin Zeng, Alex F. Chen:
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation. J. Cheminformatics 7: 60:1-60:10 (2015) - 2013
- [j7]Dong-Sheng Cao, Qing-Song Xu, Yi-Zeng Liang:
propy: a tool to generate various modes of Chou's PseAAC. Bioinform. 29(7): 960-962 (2013) - [j6]Dong-Sheng Cao, Qing-Song Xu, Qian-Nan Hu, Yi-Zeng Liang:
ChemoPy: freely available python package for computational biology and chemoinformatics. Bioinform. 29(8): 1092-1094 (2013) - [j5]Dong-Sheng Cao, Yi-Zeng Liang, Jun Yan, Gui-Shan Tan, Qing-Song Xu, Shao Liu:
PyDPI: Freely Available Python Package for Chemoinformatics, Bioinformatics, and Chemogenomics Studies. J. Chem. Inf. Model. 53(11): 3086-3096 (2013) - 2011
- [j4]Qian-Nan Hu, Zhe Deng, Huanan Hu, Dong-Sheng Cao, Yi-Zeng Liang:
RxnFinder: biochemical reaction search engines using molecular structures, molecular fragments and reaction similarity. Bioinform. 27(17): 2465-2467 (2011) - [j3]Dongsheng Cao, Yizeng Liang, Qingsong Xu, Yifeng Yun, Hongdong Li:
Toward better QSAR/QSPR modeling: simultaneous outlier detection and variable selection using distribution of model features. J. Comput. Aided Mol. Des. 25(1): 67-80 (2011) - [j2]Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Bin-Bin Tan, Bai-Chuan Deng, Chen-Chen Lin:
Recipe for Uncovering Predictive Genes Using Support Vector Machines Based on Model Population Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1633-1641 (2011) - 2010
- [j1]Dong-Sheng Cao, Yi-Zeng Liang, Qing-Song Xu, Hong-Dong Li, Xian Chen:
A new strategy of outlier detection for QSAR/QSPR. J. Comput. Chem. 31(3): 592-602 (2010)
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-18 02:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
