Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …

Abstract Protein Structure Prediction is a central topic in Structural Bioinformatics. Since
the'60s statistical methods, followed by increasingly complex Machine Learning and recently …

Intrinsically disordered proteins and regions (collectively, IDRs) are pervasive across
proteomes in all kingdoms of life, help to shape biological functions and are involved in …

In order to uncover the meanings of 'book of life', 155 different biological language models
(BLMs) for DNA, RNA and protein sequence analysis are discussed in this study, which are …

Abstract The MPI Bioinformatics Toolkit (https://toolkit. tuebingen. mpg. de) is a free, one-stop
web service for protein bioinformatic analysis. It currently offers 34 interconnected external …

The AlphaFold Protein Structure Database contains predicted structures for millions of
proteins. For the majority of human proteins that contain intrinsically disordered regions …

Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …

With the increasing demand for intelligent transportation systems, short-term traffic flow
prediction has become an important research direction. The memory unit of a Long Short …

The ability to predict local structural features of a protein from the primary sequence is of
paramount importance for unraveling its function in absence of experimental structural …

Intrinsically disordered proteins and protein regions make up a substantial fraction of many
proteomes in which they play a wide variety of essential roles. A critical first step in …