Year: 2022
Type: book-chapter
Abstract: In sequence-based predictions, conventionally an input sequence is represented by a multiple sequence alignment (MSA) or a representation derived from MSA, such as a position-specific scoring matrix. Recently, inspired by the development in natural language processing, several applications of sequence embedding have been observed. Here, we review different approaches of protein sequence embeddings and their applications including protein contact prediction, secondary structure, prediction, and function prediction.
Source: WORLD SCIENTIFIC eBooks
Authors: Nabil Ibtehaz, Daisuke Kihara
Institution: Purdue University West Lafayette
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Building protein structure models for intermediate resolution cryo-electron microscopy maps, Collaborative Research: RoL: Revealing a new mechanism of action for eukaryotic transcriptional activation domains, IIBR Informatics: Development of Multimodal approaches for protein function prediction, Nanomanufacturing of Protein Macromolecular Frameworks Through an Integrated Bioengineering and Computational Approach, G5601722728, G7000278813, Structural Modeling of Multifarious Protein Complexes, G9000279729
OpenAlex ID: W3205598784