PDNET for protein distance prediction

Name: PDNET for protein distance prediction
Creator: Anonymous For ICML
Published: 2020-02-05T00:00:00+08:00

Zenodo2020-02-05 更新2026-04-07 收录

蛋白质距离预测

接触预测

数据链接：

https://zenodo.org/record/3646149 数据链接链接失效反馈

官方服务：

资源简介：

Deep learning protein contacts and real-valued distances using PDNET

提供机构：

Anonymous For ICML

创建时间：

2020-02-05

Repeats Proteins contact prediction based modelling datasets

蛋白质建模

接触预测

Datasets of repeats proteins model obtained by contact prediction based modelling. The multiple sequence alignments were generate using HHblits with an E-value cutoff of 0.001 against the Uniclust3

DataCite Commons2021-01-07 更新100

Performance comparisons on CASP13 FM targets between TripletRes and RaptorX-Contact, DMP, and ZHOU-Contact servers, sorted in ascending order of top L long-range contact precision.

蛋白质结构预测

接触预测

Performance comparisons on CASP13 FM targets between TripletRes and RaptorX-Contact, DMP, and ZHOU-Contact servers, sorted in ascending order of top L long-range contact precision.

NIAID Data Ecosystem40

cifs crystal structure files

晶格结构

接触预测

for training contact map predictor

DataCite Commons2021-06-01 更新20

Serum albumin domain structures in human blood serum by mass spectrometry and computational biology

蛋白质结构域分析

接触预测

Contact prediction data generated by EPC-map used in the paper "Serum Albumin Domain Structures in Human Blood Serum by Mass Spectrometry and Computational Biology" by Rappsilber et al.

NIAID Data Ecosystem50

Prediction precisions of top L, L/2 and L/5 all-range predictions by 16 methods on different protein types with N eff > 0

蛋白质结构预测

接触预测

Prediction precisions of top L, L/2 and L/5 all-range predictions by 16 methods on different protein types with Neff > 0

NIAID Data Ecosystem20