1 pI計(jì)算：https://www.protpi.ch/Calculator/ProteinTool
2 膜蛋白(bái)二級結構預測，可(kě)判斷跨膜區 https://harrier.nagahama-i-bio.ac.jp/sosui/
Classification and Secondary Structure Prediction of Membrane Proteins(pdf)
3 MemBrain: Transmembrane protein structure prediction http://www.csbio.sjtu.edu.cn/bioinf/MemBrain/
上海交通大(dà)學模式識别與生(shēng)物信息學研究組沈紅(hóng)斌教授生(shēng)物信息學在線平台
4 STRING 蛋白(bái)互作(zuò) https://cn.string-db.org
5 UniProt :https://www.uniprot.org。Uniprot是 Universal Protein 的英文縮寫，是信息最豐富、資源最廣的蛋白(bái)質數據庫。它由整合Swiss-Prot、 TrEMBL 和 PIR-PSD 三大(dà)數據庫的數據而成。他(tā)的數據主要來(lái)自(zì)于基因組測序項目完成後，後續獲得(de)的蛋白(bái)質序列。
6 Cell-PLoc 2.0 www.csbio.sjtu.edu.cn/bioinf/Cell-PLoc-2/
Cell-PLoc 2.0: A package of web-servers for predicting subcellular localization of proteins in different organisms
NP文章(zhāng)詳細解釋如(rú)何操作(zuò)
7 Pumba-Human https://pumba.dcsr.unil.ch/
The PUMBA database is a resource of reference 1D-SDS-PAGE migration patterns for proteins from human and other organisms. Its purpose is to validate or troubleshoot western blot experiments, but also to provide information about proteoforms.
Mylonas R, Potts A, Waridel P, Barblan J, Conde Rubio MDC, Widmann C, Quadroni M. A Database of Accurate Electrophoretic Migration Patterns for Human Proteins. J Mol Biol. 2023 Feb 28;435(4):167933. doi: 10.1016/j.jmb.2022.167933. Epub 2022 Dec 26. PMID: 36581244.