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 ...

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 ...

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 ...

Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science ... The models could map 10 times as many sequences as a database search, including ...

It is in this format: Core COG clusters ... accessory_rep_protein_seqs.fasta fasta file containing the representative protein sequences of all accessory COGs identified in the given population of ...

It has been long recognized that covariance of amino acids between distant positions within a protein sequence allows for the inference of long range contacts to facilitate 3D structure modeling. In ...

and also revealed striking sequence-structural features overlooked by other methods. These and similar analyses can aid the design of drugs targeting allosteric sites. BPPS relies on the observation ...

PWMs can be experimentally determined from SELEX experiments or computationally discovered from protein binding microarrays (PBMs ... Some tools require gene lists while others expect sequences in ...