Article Page

DOI: 10.31038/JMG.2020321

Short Communication

Recently, a very powerful web-server predictor has been established for identifying the subcellular localization of a protein based on its sequence information alone for the multi-label systems 1], in which a same protein may occur or move between two or more location sites and hence needs to be marked with the multi-label approach 2]. The web-server predictor is called “pLoc_bal-mEuk”, where “bal” means the web-server has been further improved by the “balance treatment” 3-9], and “m” means the capacity able to deal with the multi-label systems. To find how the web-server is working, please do the following.

Click the link at http://www.jci-bioinfo.cn/pLoc_bal-mEuk/, the top page of the pLoc_bal-mEuk web-server will appear on your computer screen, as shown in Figure 1. Then by following the Step 2 and Step 3 in 5], you will see the predicted results shown on Figure 2. Nearly all the success rates achieved by the web-server predictor for the eukaryotic proteins in each of the 22 subcellular locations are within the range of 90-100%, which is far beyond the reach of any of its counterparts.

JMG 2020-303_Kuo-Chen Chou_F1

Figure 1. A semi screenshot for the top page of pLoc_bal-mEuk (Adapted from 5]).

JMG 2020-303_Kuo-Chen Chou_F2

Figure 2. A semi screenshot for the webpage obtained by following Step 3 of Section 3.5 (Adapted from 5]).

Besides, the web-server predictor has been developed by strictly observing the guidelines of “Chou’s 5-steps rule” and hence have the following notable merits (see, e.g., 10-90] and three comprehensive review papers 2, 91, 92]: (1) crystal clear in logic development, (2) completely transparent in operation, (3) easily to repeat the reported results by other investigators, (4) with high potential in stimulating other sequence-analyzing methods, and (5) very convenient to be used by the majority of experimental scientists.

For the fantastic and awesome roles of the “5-steps rule” in driving proteome, genome analyses and drug development, see a series of recent papers [2, 92-103] where the rule and its wide applications have been very impressively presented from various aspects or at different angles.

References

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Article Type

Short Communication

Publication history

Received: January 29, 2020
Accepted: February 10, 2019
Published: February 20, 2020

Citation

Kuo-Chen Chou, Chen W and Feng P (2020) Showcase to illustrate how the web-server iRNA-Methyl is working. J Mol Genet, Volume 3(1): 1–4. DOI: 10.31038/JMG.2020321

Corresponding author

Dr. Kuo-Chen Chou,
Gordon Life Science Institute,
Boston,
Massachusetts 02478,
United States of America;
Email: kcchou@gordonlifescience.org