Zobrazeno 1 - 10
of 857
pro vyhledávání: '"AlphaFold2"'
Autor:
Rohan Gnanaolivu, Steven N. Hart
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3472-3480 (2024)
Background: The loss-of-function (LOF) classification of most missense variants in tumor suppressor breast cancer genes BRCA1, BRCA2, PALB2, and RAD51C remains unclassified and confounds clinical actionability. Classifying these variants is challengi
Externí odkaz:
https://doaj.org/article/6d439b45d0c14e08a4063611c86ab5d8
Autor:
Kwabena F.M. Opuni, Manuela Ruß, Rob Geens, Line De Vocht, Pieter Van Wielendaele, Christophe Debuy, Yann G.-J. Sterckx, Michael O. Glocker
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3300-3314 (2024)
Background: Bioanalytical methods that enable rapid and high-detail characterization of binding specificities and strengths of protein complexes with low sample consumption are highly desired. The interaction between a camelid single domain antibody
Externí odkaz:
https://doaj.org/article/f588cf0ec2c44023b04b9b3a3fddf5b2
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 278-286 (2024)
G protein-coupled receptors (GPCRs) play a pivotal role in fundamental biological processes and disease development. GPCR isoforms, derived from alternative splicing, can exhibit distinct signaling patterns. Some highly-truncated isoforms can impact
Externí odkaz:
https://doaj.org/article/4d30c59b93d849df85e4eeb7b8ddb588
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Machine learning models are revolutionizing our approaches to discovering and designing bioactive peptides. These models often need protein structure awareness, as they heavily rely on sequential data. The models excel at identifying sequenc
Externí odkaz:
https://doaj.org/article/6147d747cfb042c1a39edc2ed8ae3a4d
Autor:
Henrietta Onyinye Uzoeto, Samuel Cosmas, Toluwalope Temitope Bakare, Olanrewaju Ayodeji Durojaye
Publikováno v:
Beni-Suef University Journal of Basic and Applied Sciences, Vol 13, Iss 1, Pp 1-5 (2024)
Abstract Breakthrough achievements in protein structure prediction have occurred recently, mostly due to the advent of sophisticated machine learning methods and significant advancements in algorithmic approaches. The most recent version of the Alpha
Externí odkaz:
https://doaj.org/article/116c454140824ac8bf37d8d489e44d1d
Autor:
Himansu Kumar, Pora Kim
Publikováno v:
Clinical and Translational Medicine, Vol 14, Iss 8, Pp n/a-n/a (2024)
Abstract Recent advancements in artificial intelligence (AI) have accelerated the prediction of unknown protein structures. However, accurately predicting the three‐dimensional (3D) structures of fusion proteins remains a difficult task because the
Externí odkaz:
https://doaj.org/article/f748be7f7b034d27a32a62a98a2d9c49
AlphaFold2 in biomedical research: facilitating the development of diagnostic strategies for disease
Autor:
Hong Zhang, Jiajing Lan, Huijie Wang, Ruijie Lu, Nanqi Zhang, Xiaobai He, Jun Yang, Linjie Chen
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
Proteins, as the primary executors of physiological activity, serve as a key factor in disease diagnosis and treatment. Research into their structures, functions, and interactions is essential to better understand disease mechanisms and potential the
Externí odkaz:
https://doaj.org/article/4dbb40765adb4b269e3c4d105694401f
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
Understanding the interactions between SARS-CoV-2 and the human immune system is paramount to the characterization of novel variants as the virus co-evolves with the human host. In this study, we employed state-of-the-art molecular docking tools to c
Externí odkaz:
https://doaj.org/article/78b3d9ed8fd74448aa289d4b42834519
Publikováno v:
BioMedInformatics, Vol 4, Iss 1, Pp 98-112 (2024)
The three-dimensional protein structure is pivotal in comprehending biological phenomena. It directly governs protein function and hence aids in drug discovery. The development of protein prediction algorithms, such as AlphaFold2, ESMFold, and trRose
Externí odkaz:
https://doaj.org/article/f20e0b84ab32478284c3f3117af14fb9
Autor:
Jürgen Jänes, Pedro Beltrao
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 3, Pp 162-169 (2024)
Abstract Proteins are the key molecular machines that orchestrate all biological processes of the cell. Most proteins fold into three-dimensional shapes that are critical for their function. Studying the 3D shape of proteins can inform us of the mech
Externí odkaz:
https://doaj.org/article/713bfcfd47854374be4aca2cbb3f75a2