Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
OBJECTIVE: Our aim is to use multi-dimensional Bayesian network classifiers in order to
predict the human immunodeficiency virus type 1 (HIV-1) reverse transcriptase and protease …
predict the human immunodeficiency virus type 1 (HIV-1) reverse transcriptase and protease …
[PDF][PDF] Information fusion for biological prediction
S Jaeger, SS Chen - J Data Sci, 2010 - researchgate.net
Information fusion has become a powerful tool for challenging applications such as
biological prediction problems. In this paper, we apply a new information-theoretical fusion …
biological prediction problems. In this paper, we apply a new information-theoretical fusion …
Artificial neural network method for predicting HIV protease cleavage sites in protein
Abstract Knowledge of the polyprotein cleavage sites by HIV protease will refine our
understanding of its specificity, and the information thus acquired will be useful for designing …
understanding of its specificity, and the information thus acquired will be useful for designing …
Bio-basis function neural network for prediction of protease cleavage sites in proteins
ZR Yang, R Thomson - IEEE Transactions on Neural Networks, 2005 - ieeexplore.ieee.org
The prediction of protease cleavage sites in proteins is critical to effective drug design. One
of the important issues in constructing an accurate and efficient predictor is how to present …
of the important issues in constructing an accurate and efficient predictor is how to present …
Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
Drug resistance is a primary barrier to effective treatments of HIV/AIDS. Calculating
quantitative relations between genotype and phenotype observations for each inhibitor with …
quantitative relations between genotype and phenotype observations for each inhibitor with …
Sparse representation for HIV-1 protease drug resistance prediction
HIV rapidly evolves drug resistance in response to antiviral drugs used in AIDS therapy.
Estimating the specific resistance of a given strain of HIV to individual drugs from sequence …
Estimating the specific resistance of a given strain of HIV to individual drugs from sequence …
Computational proteomics analysis of HIV‐1 protease interactome
A Kontijevskis, JES Wikberg… - … Structure, Function, and …, 2007 - Wiley Online Library
HIV‐1 protease is a small homodimeric enzyme that ensures maturation of HIV virions by
cleaving the viral precursor Gag and Gag‐Pol polyproteins into structural and functional …
cleaving the viral precursor Gag and Gag‐Pol polyproteins into structural and functional …
Multistage virtual screening and identification of novel HIV-1 protease inhibitors by integrating SVM, shape, pharmacophore and docking methods
Y Wei, J Li, Z Chen, F Wang, W Huang, Z Hong… - European journal of …, 2015 - Elsevier
The HIV-1 protease has proven to be a crucial component of the HIV replication machinery
and a reliable target for anti-HIV drug discovery. In this study, we applied an optimized …
and a reliable target for anti-HIV drug discovery. In this study, we applied an optimized …
Procleave: predicting protease-specific substrate cleavage sites by combining sequence and structural information
Proteases are enzymes that cleave and hydrolyse the peptide bonds between two specific
amino acid residues of target substrate proteins. Protease-controlled proteolysis plays a key …
amino acid residues of target substrate proteins. Protease-controlled proteolysis plays a key …
[HTML][HTML] Sparse representation for prediction of HIV-1 protease drug resistance
HIV rapidly evolves drug resistance in response to antiviral drugs used in AIDS therapy.
Estimating the specific resistance of a given strain of HIV to individual drugs from sequence …
Estimating the specific resistance of a given strain of HIV to individual drugs from sequence …