It 1) scans genome (or metagenome) in fasta format; 2) predicts/translates (using FragGeneScan ... genome sequences and it will use 621 profile HMM models to scan each protein sequence (predicted by ...

The major cause of these disorders is mutations in a protein’s DNA-binding sequence, which Beltran and his team found did not cause strong destabilization of the molecules. Moving forward, Beltran ...

The plant-based category is evolving, and THIS™ is Super Superfood offers consumers something new – a product and format that is high in protein and also delivers a delicious, versatile, and ...

In this paper, we propose a method for predicting plant resistance protein by dual-extracting features. The dual-extracted features are composed of the features extracted by modeling self-attention ...

establishing the world's largest protein sequence dataset and developing models that enable targeted modification and selection of proteins with specific functions. The advancement has the potential ...

This revision of important work is a versatile addition to the chemical protein modifications and bioconjugation ... The experiment with the original recognition sequence peptide (X=Proline) resulted ...

This method not only extracts deep contextual information from RNA sequences but also incorporates structural and functional knowledge for a more comprehensive semantic representation. By enhancing ...

The models could map ten times as many sequences as a database search, including E. coli and Pseudomonas aeruginosa, the latter being a multidrug-resistant bacterium. Another use case was conducted on ...

Protein interactions are also crucial in structure-based drug design. This book covers computational analysis of protein-protein, protein-nucleic acid and protein-ligand interactions and their ...

f argument is to enter the input file in Fasta format and -o argument is for giving the path to the output directory. By default, the package uses model (-m) = 1 which employs only ML algorithm (Extra ...