Proteins for Metal Binding Identification

NIAID Data Ecosystem2026-03-11 收录

蛋白质金属结合位点预测

共进化分析

数据链接：

https://figshare.com/articles/dataset/Proteins_for_Metal_Binding_Identification/8170802 数据链接链接失效反馈

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资源简介：

FASTA files for training, validating, and testing a neural network for coevolution-based metal binding site identification.

创建时间：

2019-05-23

On Metal Binding Specificity of the Metalloproteome: Supplementary File 2

蛋白质金属结合位点预测

金属蛋白质组

Excel spreadsheet containing f-scores for the distribution of metal-binding residues against the distribution of non-metal-binding residues for cumulative features based on neighborhoods of amino acid

NIAID Data Ecosystem50

Data from: Cophylogeny Reconstruction via an Approximate Bayesian Computation

共进化分析

贝叶斯计算

Despite an increasingly vast literature on cophylogenetic reconstructions for studying host-parasite associations, understanding the common evolutionary history of such systems remains a problem tha

DataCite Commons2025-06-01 更新50

PinMyMetal_model_metal_binding_sites_source_data_2024

蛋白质金属结合位点预测

生物大分子3D结构解析

Data for the paper "PinMyMetal: A hybrid learning system to accurately model transition metal binding sites in macromolecules" by Huihui Zhang, Juanhong Zhong, Michal Gucwa, Yishuai Zhang, Haojie Ma,

Figshare2025-03-29 更新40

Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments

蛋白质结构预测

共进化分析

Predicting protein structure from primary sequence is one of the ultimate challenges in computational biology. Given the large amount of available sequence data, the analysis of co-evolution, i.e., st

NIAID Data Ecosystem50

On Metal Binding Specificity of the Metalloproteome: Supplementary File 2

金属蛋白质组

蛋白质金属结合位点预测

Figshare2018-07-19 更新40