T33-ml23 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms

NIAID Data Ecosystem2026-05-02 收录

蛋白质笼设计

计算生物学

数据链接：

https://www.rcsb.org/structure/8UF0 数据链接链接失效反馈

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资源简介：

T33-ml23 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms

创建时间：

2025-07-16

项目二课题三2024年年度计划

酶学研究

计算生物学

年度指标：（1）获得非标记和同位素标记的生物酶试验样品，包括酶的表达载体构建，表达条件优化及筛选，制备可供NMR测量的酶样品；（2）构建用于环境模拟研究的生物酶的初始结构，探索类细胞环境的计算机模拟实验；（3）优化开展NMR等实验的合适条件，初步残基NMR数据；（4）建立酶催化体系的拥挤、限域等类细胞环境，探索别构效应诱发条件，测试相应条件下酶活性变化。

中国科学院兰州化学物理研究所科学数据中心2026-01-09 更新130

Formation of histidino-hydroxylysinonorleucine cross-links

生物化学

计算生物学

This event has been computationally inferred from an event that has been demonstrated in another species. The inference is based on the homology mapping from PANTHER. Briefly, reactions for which al

reactome.org100

Using INC within Divide-and-Conquer Phylogeny Estimation - Datasets

生物信息学

计算生物学

This repository include datasets that are studied with INC/INC-ML/INC-NJ in the paper `Using INC within Divide-and-Conquer Phylogeny Estimation' that was submitted to AICoB 2019. Each dataset has its

doi.org50

RAC2 GTPase cycle

GTP酶调控

计算生物学

This event has been computationally inferred from an event that has been demonstrated in another species. The inference is based on the homology mapping from PANTHER. Briefly, reactions for which al

reactome.org110

Datasets

蛋白质扭转角预测

计算生物学

Datasets used in paper "Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network."

NIAID Data Ecosystem80