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Updated: Jun 8, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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MST-m6A:一种基于多尺度变压器的新型框架,用于在不同细胞环境中准确预测m6A修饰地点

Qiaosen Su1, Le Thi Phan1, Nhat Truong Pham1

  • 1Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Gyeonggi-do, Republic of Korea.

Journal of molecular biology
|November 7, 2024
PubMed
概括

我们开发了MST-m6A,这是一种新的计算工具,可以准确地识别不同细胞类型的N6-甲基氨酸 (m6A) 修饰部位. 这种方法增强了对RNA表观遗传学和基因调节的理解.

关键词:
贝尔特 (BERT) 公司N6 - 甲基氨酸修改的修改卷积神经网络是一种卷积神经网络.功能融合功能融合功能变压器的变压器是一个变压器.

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Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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