Modern rational drug design not only deals with the search for ligands binding to interesting
and promising validated targets but also aims to identify the function and ligands of yet …

We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to
determine metric tensors to define distance based similarity in pattern classification, inspired …

As increasingly more genomes are sequenced, the vast majority of proteins may only be
annotated computationally, given experimental investigation is extremely costly. This …

Accurate prediction of protein function in humans is important for understanding biological
processes at the molecular level in biomedicine and drug design. Over a third of proteins are …

One of the challenging problems in bioinformatics is the prediction of protein function.
Protein function is the main key that can be used to classify different proteins. Protein …

Although differential gene expression (DGE) profiling in RNA-seq is used by many
researchers, new packages and pipelines are continuously being presented as a result of …

Apesar dos melhores esforços de pesquisa, uma quantidade substancial e crescente de
proteínas ainda apresenta função desconhecida. À medida que novos genomas são …

The large amounts of available protein structures emerges the need for computational
methods for protein function prediction. Predicting protein function is mainly based on …

Enzimi su vrsta biološki aktivnih proteina koji katalizuju hemijske reakcije neophodne za
odvijanje metabolickih funkcija u celijama. Poznavanje funkcija enzima je stoga esencijalno …

Enzimi su vrsta biološki aktivnih proteina koji katalizuju hemijske reakcije neophodne za
odvijanje metabolickih funkcija u celijama. Poznavanje funkcija enzima je stoga esencijalno …