Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

The purpose of this article is to provide a brief history of the development and application of
computer algorithms for the analysis and prediction of DNA binding sites. This problem can …

The σ54 promoters are unique in prokaryotic genome and responsible for transcripting
carbon and nitrogen-related genes. With the avalanche of genome sequences generated in …

Bacteria often cope with environmental stress by inducing alternative sigma (σ) factors,
which direct RNA polymerase to specific promoters, thereby inducing a set of genes called a …

Promoters are DNA regulatory elements located directly upstream or at the 5'end of the
transcription initiation site (TSS), which are in charge of gene transcription initiation. With the …

Predicting function from sequence using computational tools is a highly complicated
procedure that is generally done for each gene individually. This review focuses on the …

A computer program, PROMOTER SCAN, has been developed to recognize a high
percentage of Pol II promoter sequences while allowing only a small rate of false positives. A …

An updated compilation of 300 E. coli mRNA promoter sequences is presented. For each
sequence the most recent relevant paper was checked, to verify the location of the …

Described here are neural networks capable of predicting a drug's mechanism of action from
its pattern of activity against a panel of 60 malignant cell lines in the National Cancer …

Three computer software packages were written in the C++ language for the analysis of
numerical phenetic, 16S rRNA sequence and pyrolysis mass spectrometric data. The X …