6L0L

Hydra-1ubq de nova designed by Hydra based on ubiquitin

6L0L の概要

• エントリーDOI: 10.2210/pdb6l0l/pdb
• 分子名称: Hydra-1ubq (1 entity in total)
• 機能のキーワード: de novo protein design, de novo protein
• 由来する生物種: Homo sapiens
• タンパク質・核酸の鎖数: 1
• 化学式量合計: 9217.41

構造登録者

Ouyang, B. (登録日: 2019-09-26, 公開日: 2020-09-30, 最終更新日: 2024-05-15)

主引用文献

Li, R.X.,Zhang, N.N.,Wu, B.,OuYang, B.,Shen, H.B.
Multiobjective heuristic algorithm for de novo protein design in a quantified continuous sequence space.
Comput Struct Biotechnol J, 19:2575-2587, 2021

PubMed Abstract: Protein design usually involves sequence search process and evaluation criteria. Commonly used methods primarily implement the Monte Carlo or simulated annealing algorithm with a single-energy function to obtain ideal solutions, which is often highly time-consuming and limited by the accuracy of the energy function. In this report, we introduce a multiobjective algorithm named Hydra for protein design, which employs two different energy functions to optimize solutions simultaneously and makes use of the latent quantitative relationship between different amino acid types to facilitate the search process. The framework uses two kinds of prior information to transform the original disordered discrete sequence space into a relatively ordered space, and decoy sequences are searched in this ordered space through a multiobjective swarm intelligence algorithm. This algorithm features high accuracy and a high-speed search process. Our method was tested on 40 targets covering different fold classes, which were computationally verified to be well folded, and it experimentally solved the 1UBQ fold by NMR in excellent agreement with the native structure with a backbone RMSD deviation of 1.074 Å. The Hydra software package can be downloaded from: http://www.csbio.sjtu.edu.cn/bioinf/HYDRA/ for academic use.

PubMed: 34025944
DOI: 10.1016/j.csbj.2021.04.046

実験手法

SOLUTION NMR