Protein sequence analysis for IDR

HZ Haitao Zhang
XC Xiaolei Cao
MT Mei Tang
GZ Guoxuan Zhong
YS Yuan Si
HL Haidong Li
FZ Feifeng Zhu
QL Qinghua Liao
LL Liuju Li
JZ Jianhui Zhao
JF Jia Feng
SL Shuaifeng Li
CW Chenliang Wang
MK Manuel Kaulich
FW Fangwei Wang
LC Liangyi Chen
LL Li Li
ZX Zongping Xia
TL Tingbo Liang
HL Huasong Lu
XF Xin-Hua Feng
BZ Bin Zhao
request Request a Protocol
ask Ask a question
Favorite

Domain architecture of each kinase was analyzed by SMART (http://smart.embl.de/). Intrinsic disorder tendency was predicted by IUPred2A (https://iupred2a.elte.hu/) with scores assigned between 0 and 1. A score above 0.5 indicates disorder. Predicted IDRs and their boundaries were marked on domain architecture. Prion-like domains (PrD.like, red) of each kinase were predicted by PLAAC (http://plaac.wi.mit.edu/) with scores assigned between 0 and 1. A score above 0.5 indicates prion-like region. FoldIndex (gray), -PLACC (red), and −4*PAPA (green) were also produced by PLAAC (http://plaac.wi.mit.edu/). FoldIndex (gray) predicts whether a given protein sequence is intrinsically unfolded with scores assigned between −1 and 1. A score above 0 indicates folded region, while a score below 0 indicates unfolded region. Sliding averages of per-residue log-likelihood ratios for the prion-like versus background state were scaled by using base −4 logarithms and reversed in sign, thereby producing -PLACC (red). A prion aggregation prediction algorithm (PAPA) focusing on amino acid composition of proteins predicts prion propensity of Q/N-rich proteins. In order to be more comparable to the other tracks, PAPA multiplied by −4 produces 4*PAPA (green), so that lower scores are more predictive of prion propensity. −4*PAPA below the dashed green line (−0.2) indicates prion propensity.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

0/150

tip Tips for asking effective questions

+ Description

Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.

post Post a Question
0 Q&A