Integrating Semantic Query Function Into D-NetWeaver

Shi, Lixiang; Huang, Zhixing; Hu, Nan; Yang, Zhengzhou; Zhang, Le

doi:10.1166/jmihi.2015.1478

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…To overcome these shortcomings, we will employ natural language processing technology 58 , 59 to improve manual update efficiency and use high-performance computing 60 , 61 , 62 to reduce the processing time for similarity computing. Finally, we will make MDCB as a highly integrated web-based MC-related data platform by integrating more advanced bioinformatics applications and algorithms 27 , 63 , 64 , 65 , 66 , 67 , 68 , 69 in the future.…”

Section: Discussionmentioning

confidence: 99%

MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction

Zhang

Guo

Xiao

et al. 2021

Acta Pharmaceutica Sinica B

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Mitotic catastrophe (MC) is a form of programmed cell death induced by mitotic process disorders, which is very important in tumor prevention, development, and drug resistance. Because rapidly increased data for MC is vigorously promoting the tumor-related biomedical and clinical study, it is urgent for us to develop a professional and comprehensive database to curate MC-related data. Mitotic Catastrophe Database (MCDB) consists of 1214 genes/proteins and 5014 compounds collected and organized from more than 8000 research articles. Also, MCDB defines the confidence level, classification criteria, and uniform naming rules for MC-related data, which greatly improves data reliability and retrieval convenience. Moreover, MCDB develops protein sequence alignment and target prediction functions. The former can be used to predict new potential MC-related genes and proteins, and the latter can facilitate the identification of potential target proteins of unknown MC-related compounds. In short, MCDB is such a proprietary, standard, and comprehensive database for MC-relate data that will facilitate the exploration of MC from chemists to biologists in the fields of medicinal chemistry, molecular biology, bioinformatics, oncology and so on. The MCDB is distributed on http://www.combio-lezhang.online/MCDB/index_html/ .

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Section: Discussionmentioning

confidence: 99%

MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction

Zhang

Guo

Xiao

et al. 2021

Acta Pharmaceutica Sinica B

Self Cite

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“…However, due to the limitations of computing power, it does not provide real-time simulations. In the distant future, we will not only employ high-performance computing technology [56] , [57] to realize real-time simulations but will also develop more in-depth LAUP analysis methods [26] , [27] to further analyze the sequence characteristics of the 2019-nCoV genome. Finally, since the 2019- nCoV epidemic is still spreading around the world, we will carry out genomic sequence analysis, epidemic transmission prediction, and public psychological stress assessments for different countries.…”

Section: Discussionmentioning

confidence: 99%

2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV

Xiao

Liu

Xie

et al. 2021

IEEE/ACM Trans. Comput. Biol. and Bioinf.

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Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychological stress assessment for 2019-nCoV. However, transmission prediction models are insufficiently accurate and genome sequence characteristics are not clear, and it is difficult to dynamically assess the public psychological stress state under the 2019-nCoV epidemic. Therefore, this study develops a 2019nCoVAS web service (http://www.combio-lezhang.online/2019ncov/home.html) that not only offers online epidemic transmission prediction and lineage-associated underrepresented permutation (LAUP) analysis services to investigate the spreading trends and genome sequence characteristics, but also provides psychological stress assessments based on such an emotional dictionary that we built for 2019-nCoV. Finally, we discuss the shortcomings and further study of the 2019nCoVAS web service.

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Using Knowledge graph and Quantum Computing to Optimize the Comprehensive Mental Health Adaptive Test System

Wang,

Liu,

Zhang

2023

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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Integrating Semantic Query Function Into D-NetWeaver

Cited by 4 publications

References 3 publications

MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction

MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction

2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV

Using Knowledge graph and Quantum Computing to Optimize the Comprehensive Mental Health Adaptive Test System

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