Accurate prediction of functional effect of single amino acid variants with deep learning
The assessment of functional effect of amino acid variants is a critical biological problem in proteomics for clinical medicine and protein engineering. Although natively occurring variants offer insights into deleterious variants, high-throughput deep mutational experiments enable comprehensive inv...
Main Authors: | Houssemeddine Derbel, Zhongming Zhao, Qian Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
|
Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023004312 |
Similar Items
-
Assessment of Data-Independent Acquisition Mass Spectrometry (DIA-MS) for the Identification of Single Amino Acid Variants
by: Ivo Fierro-Monti, et al.
Published: (2024-11-01) -
MMRT: MultiMut Recursive Tree for predicting functional effects of high-order protein variants from low-order variants
by: Bryce Forrest, et al.
Published: (2025-01-01) -
Single-amino acid variants reveal evolutionary processes that shape the biogeography of a global SAR11 subclade
by: Tom O Delmont, et al.
Published: (2019-09-01) -
The evolutionary features and roles of single nucleotide variants and charged amino acid mutations in influenza outbreaks during NPI period
by: Zhong-Zhou Huang, et al.
Published: (2024-09-01) -
Two splicing variants of amino acid transporter-like 4 (OsATL4) negatively regulate rice tillering and yield by mediating the transport of amino acids
by: Chuanbo Wang, et al.
Published: (2024-12-01)