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 …
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 …
A reliable method for HIV-1 protease cleavage site prediction
Recently, several works have approached the HIV-1 protease specificity problem by
applying techniques from machine learning. In this work, an encoding scheme based on the …
applying techniques from machine learning. In this work, an encoding scheme based on the …
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 …
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 …
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) …
Why neural networks should not be used for HIV-1 protease cleavage site prediction
T Rögnvaldsson, L You - Bioinformatics, 2004 - academic.oup.com
Several papers have been published where nonlinear machine learning algorithms, eg
artificial neural networks, support vector machines and decision trees, have been used to …
artificial neural networks, support vector machines and decision trees, have been used to …
HIV-1 protease cleavage site prediction using stacked autoencoder with ensemble of classifiers
The prediction of the protease cleavage site of an amino acid sequence of Human Immune
Deficiency Virus (HIV-1) type 1 has various significant applications in finding novel drug …
Deficiency Virus (HIV-1) type 1 has various significant applications in finding novel drug …
Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins
The focus of this work is the use of ensembles of classifiers for predicting HIV protease
cleavage sites in proteins. Due to the complex relationships in the biological data, several …
cleavage sites in proteins. Due to the complex relationships in the biological data, several …
Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction
HIV-1 protease site helps to understand the specificity of substrates which antagonizes AIDS
by restraining the replication of HIV-1 through inhibitors. Identification of HIV-1 protease …
by restraining the replication of HIV-1 through inhibitors. Identification of HIV-1 protease …