Machine learning techniques for protein function prediction
R Bonetta, G Valentino - Proteins: Structure, Function, and …, 2020 - Wiley Online Library
Proteins play important roles in living organisms, and their function is directly linked with
their structure. Due to the growing gap between the number of proteins being discovered …
their structure. Due to the growing gap between the number of proteins being discovered …
[HTML][HTML] 机器学习在蛋白质功能预测领域的研究进展
池燕飞， 李春， 冯旭东 - 生物工程学报, 2023 - cjb.ijournals.cn
蛋白质是有机生命体内不可或缺的化合物, 在生命活动中发挥着多种重要作用,
了解蛋白质的功能有助于医学和药物研发等领域的研究. 此外, 酶在绿色合成中的应用一直备受 …
了解蛋白质的功能有助于医学和药物研发等领域的研究. 此外, 酶在绿色合成中的应用一直备受 …
MSF-PFP: A Novel Multisource Feature Fusion Model for Protein Function Prediction
X Li, Y Qian, Y Hu, J Chen, H Yue… - Journal of Chemical …, 2024 - ACS Publications
Protein function prediction is essential for disease treatment and drug development; yet,
traditional biological experimental methods are less efficient in annotating protein function …
traditional biological experimental methods are less efficient in annotating protein function …
[HTML][HTML] Active site prediction of phosphorylated SARS-CoV-2 N-Protein using molecular simulation
S Sankararaman, J Hamre III, F Almsned… - Informatics in Medicine …, 2022 - Elsevier
Abstract The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
nucleocapsid protein (N-protein) is responsible for viral replication by assisting in viral RNA …
nucleocapsid protein (N-protein) is responsible for viral replication by assisting in viral RNA …
[PDF][PDF] Predicting of Hosting Animal Centre Outcome Based on Supervised Machine Learning Models
S Parte - 2019 - norma.ncirl.ie
In 2010 Austin passed a plan known as No kill implementation plan which is maintained by
Austin Animal center and pursued a 90% live outcome goal. Today Austin is one of the …
Austin Animal center and pursued a 90% live outcome goal. Today Austin is one of the …