TALE: Transformer-based protein function Annotation with joint sequence–Label Embedding
نویسندگان
چکیده
منابع مشابه
Structure Based Identification of Protein Family Signatures for Function Annotation
2 Introduction Protein sequences are known to evolve much faster than structures. Pairs of distantly homologous proteins with very low sequence similarity may still share very similar folds and functions. One example of well-preserved structural motifs is given by specific three-dimensional orientations of amino acid residues in the active site of a protein, which are responsible for protein’s ...
متن کاملAutomatic annotation of protein function based on family identification.
Although genomes are being sequenced at an impressive rate, the information generated tells us little about protein function, which is slow to characterize by traditional methods. Automatic protein function annotation based on computational methods has alleviated this imbalance. The most powerful current approach for inferring the function of new proteins is by studying the annotations of their...
متن کاملPosition-Specific Annotation of Protein Function Based on Multiple Homologs
I present in this work an algorithm for deriving protein functional annotations which are position-specific. The input is based on the results of a sequence similarity search of the query sequence against a sequence database. Strings of words are extracted from the descriptions of the proteins, and the correlation between proteins having the same descriptors and the amino acid conservation is u...
متن کاملPosition - speci c annotation of protein function based on multiplehomologsMiguel
In this work I present an algorithm for deriving position-speciic protein functional annotations. The input is based on the results of a sequence similarity search of a query sequence against a sequence database. Strings of words are extracted from the descriptions of the proteins, and the correlation between proteins having the same descriptors and amino acid conservation is used to compute a ...
متن کاملMetric Labeling and Semi-metric Embedding for Protein Annotation Prediction
Computational techniques have been successful at predicting protein function from relational data (functional or physical interactions). These prediction techniques have been used to generate hypotheses and to direct experimental validation. With few exceptions, these predictive tasks are modeled as multi-label classification problems where the labels (functions) are treated independently or se...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2021
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btab198