An MLP-based feature subset selection for HIV-1 protease cleavage site analysis
G Kim, Y Kim, H Lim, H Kim - Artificial intelligence in medicine, 2010 - Elsevier
OBJECTIVE: In recent years, several machine learning approaches have been applied to
modeling the specificity of the human immunodeficiency virus type 1 (HIV-1) protease …
modeling the specificity of the human immunodeficiency virus type 1 (HIV-1) protease …
[HTML][HTML] A consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site prediction
O Öztürk, A Aksaç, A Elsheikh, T Özyer, R Alhajj - PloS one, 2013 - journals.plos.org
Background Predicting type-1 Human Immunodeficiency Virus (HIV-1) protease cleavage
site in protein molecules and determining its specificity is an important task which has …
site in protein molecules and determining its specificity is an important task which has …
[HTML][HTML] Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
O Singh, ECY Su - BMC bioinformatics, 2016 - Springer
Background The human immunodeficiency virus type 1 (HIV-1) aspartic protease is an
important enzyme owing to its imperative part in viral development and a causative agent of …
important enzyme owing to its imperative part in viral development and a causative agent of …
Comparison among feature extraction methods for HIV-1 protease cleavage site prediction
L Nanni - Pattern Recognition, 2006 - Elsevier
Recently, several works have approached the HIV-1 protease specificity problem by
applying a number of methods from the field of machine learning. However, it is still difficult …
applying a number of methods from the field of machine learning. However, it is still difficult …
[HTML][HTML] Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease
Inadequate patient samples and costly annotated data generations result into the smaller
dataset in the biomedical domain. Due to which the predictions with a trained model that …
dataset in the biomedical domain. Due to which the predictions with a trained model that …
[HTML][HTML] Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach
Background The site information of substrates that can be cleaved by human
immunodeficiency virus 1 proteases (HIV-1 PRs) is of great significance for designing …
immunodeficiency virus 1 proteases (HIV-1 PRs) is of great significance for designing …
Specificity rule discovery in HIV-1 protease cleavage site analysis
H Kim, Y Zhang, YS Heo, HB Oh, SS Chen - Computational Biology and …, 2008 - Elsevier
Several machine learning algorithms have recently been applied to modeling the specificity
of HIV-1 protease. The problem is challenging because of the three issues as follows:(1) …
of HIV-1 protease. The problem is challenging because of the three issues as follows:(1) …
A new feature encoding scheme for HIV-1 protease cleavage site prediction
M Gök, AT Özcerit - Neural Computing and Applications, 2013 - Springer
HIV-1 protease has been the subject of intense research for deciphering HIV-1 virus
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …
Machine learning for HIV-1 protease cleavage site prediction
Recently, several works have approached the HIV-1 protease specificity problem by
applying a number of classifier creation and combination methods, known as ensemble …
applying a number of classifier creation and combination methods, known as ensemble …
HIV-1 protease cleavage site prediction based on two-stage feature selection method
B Niu, XC Yuan, P Roeper, Q Su… - Protein and Peptide …, 2013 - ingentaconnect.com
Knowledge of the mechanism of HIV protease cleavage specificity is critical to the design of
specific and effective HIV inhibitors. Searching for an accurate, robust, and rapid method to …
specific and effective HIV inhibitors. Searching for an accurate, robust, and rapid method to …