The drug discovery process starts with protein identification because proteins are
responsible for many functions required for maintenance of life. Protein identification further …

Protein Function Prediction is important for its numerous applications in the field of drug
discovery, gene ontology and its role in the complex structure formation. HPRD (Human …

Deep learning technologies have been adopted to predict the functions of newly identified
proteins in silico. However, most current models are not suitable for poorly characterized …

Proteins are the most necessary and multipurpose macromolecules of human life and the
functions of proteins having a major impact in the development of new drugs and helps in …

In the field of computational biology, to gauge the meaningful and accurate feature for
protein function predications, either the profile-based protein data or sequence-based data …

In the above article, the image currently appearing in the" Figure 2" position belongs instead
in the" Figure 1" position; the image currently appearing in the" Figure 3" position belongs …

Functional prediction of human hypothetical proteins remains a major project for biologist to
carry out their further research in various life science and healthcare segments. Human …

Functional explication of unascertained proteins is a remarkable achievement in proteomics.
Proteins subcellular localization serves as the key annotation. Many prediction techniques …

To overcome the problem of exponentially increasing protein data, drug discoverers need
efficient machine learning techniques to predict the functions of proteins which are …

Proteins represent the most important class of biomolecules in living organisms. They carry
out majority of the cellular processes and act as structural constituents, catalysis agents …