The identification of variable-length coevolutionary patterns for predicting HIV-1 protease cleavage sites

Authors: Li, Zhenfeng, Hu, Lun

Source: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2020 IEEE International Conference on. :4192-4197 Oct, 2020

Relation: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites

Authors: Hu, L., Hu, P., Luo, X., Yuan, X., You, Z.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 17(6):2017-2028 Jan, 2020

DiCleave: a deep learning model for predicting human Dicer cleavage sites

Authors: Lixuan Mu, Jiangning Song, Tatsuya Akutsu, Tomoya Mori

Source: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-15 (2024)

Subject Terms: miRNA, Dicer cleavage site prediction, Deep learning, Autoencoder, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/da523028fc604264a044ac6d7099ff0c

Predicting signal peptide and its cleavage site by using GA-optimized position weight matrices

Authors: Lao, Demelo M., Avila, Jonah Mark C.

Source: TENCON 2012 IEEE Region 10 Conference TENCON 2012 - 2012 IEEE Region 10 Conference. :1-6 Nov, 2012

Relation: TENCON 2012 - 2012 IEEE Region 10 Conference

Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models

Authors: Yang, Z.R.

Source: IEEE Transactions on Biomedical Engineering IEEE Trans. Biomed. Eng. Biomedical Engineering, IEEE Transactions on. 53(10):2119-2123 Oct, 2006

Bio-basis function neural network for prediction of protease cleavage sites in proteins

Authors: Zheng Rong Yang, Thomson, R.

Source: IEEE Transactions on Neural Networks IEEE Trans. Neural Netw. Neural Networks, IEEE Transactions on. 16(1):263-274 Jan, 2005

Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information

Authors: Fuyi Li, Andre Leier, Quanzhong Liu, Yanan Wang, Dongxu Xiang, Tatsuya Akutsu, Geoffrey I. Webb, A. Ian Smith, Tatiana Marquez-Lago, Jian Li, Jiangning Song

Source: Genomics, Proteomics & Bioinformatics, Vol 18, Iss 1, Pp 52-64 (2020)

Subject Terms: Protease, Cleavage site prediction, Machine learning, Conditional random field, Structural determinants, Biology (General), QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S167202292030053X; https://doaj.org/toc/1672-0229

Access URL: https://doaj.org/article/eee55d04a1354046a2a0f1cddc8e5385

A Probabilistic Peptide Machine for Predicting Hepatitis C Virus Protease Cleavage Sites

Authors: Yang, Z. R.

Source: IEEE Transactions on Information Technology in Biomedicine IEEE Trans. Inform. Technol. Biomed. Information Technology in Biomedicine, IEEE Transactions on. 11(5):593-595 Sep, 2007

Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning

Authors: Zhenfeng Li, Lun Hu, Zehai Tang, Cheng Zhao

Source: Frontiers in Genetics, Vol 12 (2021)

Subject Terms: HIV-1 protease, cleavage site prediction, positive-unlabeled learning, biased SVM, substrate specificity, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2021.658078/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/b18f69ce2ba447758ccb171d615575b2

Developing a powerful In Silico tool for the discovery of novel caspase-3 substrates: a preliminary screening of the human proteome

Authors: Ayyash Muneef, Tamimi Hashem, Ashhab Yaqoub

Source: BMC Bioinformatics, Vol 13, Iss 1, p 14 (2012)

Subject Terms: Apoptosis, Caspase-3, Caspase substrates, Cleavage site prediction, Position-Specific Scoring Matrix (PSSM), Human proteome, Bioinformatic tool, Pattern recognition, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: http://www.biomedcentral.com/1471-2105/13/14; https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/239dac67191740e5a3c03e043a5753df

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