*Corresponding Author:
Kuo-Chen Chou Gordon Life Science Institute, Boston, Massachusetts 02478, United States of America.
Citation: Kuo-Chen Chou. The Ploc_Bal-Mhum Is a Powerful Web-Serve for Predicting the Subcellular Localization of Human Proteins Purely Based on Their Sequence Information. J Clinical Research Notes, 1(2); DOI:10.31579/2690-8816/009
Received:20 April 2020
| Accepted:26 May 2020
| Published:10 June 2020
Keywords: web-serve; human protein; sequence information
Abstract
In 2019 a very powerful web-server, or AI (Artificial Intelligence) tool, has been developed for predicting the subcellular localization of human proteins purely according to their information for the multi-label systems, in which a same protein may appear or travel between two or more locations and hence its identification needs the multi-label mark.
Summary
In 2019 a very powerful web-server, or AI (Artificial Intelligence) tool, has been developed for predicting the subcellular localization of human proteins purely according to their information for the multi-label systems [1], in which a same protein may appear or travel between two or more locations and hence its identification needs the multi-label mark [2]. The AI tool is named as “pLoc_bal-mEuk”, where “bal” stands for that the AI tool has been further treated by balancing the training dataset [3-9], and “m” for that the AI tool can be used to cope with multi-label systems. Below, let us show how the AI tool is working. Clicking the link at http://www.jci-bioinfo.cn/pLoc_bal-mHum/, you will see the top page of the pLoc_bal-mHum web-server appearing on your computer screen (Figure 1).
Then by following the Step 2 and Step 3 in [5], you will see Figure 2 on the screen of your computer.
The corresponding detailed predicted results were given in ref. 5. As you can see from there: nearly all the success rates achieved by the AI tool for the human proteins in each of the 14 subcellular locations are within the range of 94-100%. Such a high prediction quality is far beyond the reach of any of its counterparts. In addition to the advantages of high accuracy and easy to use, the AI tool has been built up by strictly complying with the “Chou’s 5-steps rule” and hence bears the following remarkable and notable merits as concurred by many investigators (see, e.g., [10-91] as well as three comprehensive review papers [2, 92, 93]): (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, 93-104] where the rule and its wide applications have been very impressively presented from various aspects or at different angles.
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Dear Editorial Team,
Clinical Medical Reviews and Reports.
My experience with the journal was highly positive. The peer-review process was rigorous, constructive, and completed in a timely manner. The reviewers provided valuable comments that helped improve the quality and clarity of our manuscript. The editorial office was professional, responsive, and supportive throughout all stages of the publication process. Communication was clear and efficient, and any questions were addressed promptly. Overall, I found the journal to maintain high scientific standards and an excellent publication workflow. I would be pleased to consider submitting future work to this journal.
Best wishes from,
Elena Popa.
Dr Elena Popa
It was my pleasure to submit my testimonial concerning the Reviewer Board of our Scientific Journal “Brain and Neurological Disorders”. The Reviewers focused on some modifications and their contribution was helpful. The ladies of our Editorial Office were also supported my efforts. It was my honor to have such a co-operation and I am looking forward for more collaboration.
Dr Nikolaos Andreas Chrysanthakopoulos
Dear Grace Pierce,
Editorial Coordinator of Journal of Clinical Research and Reports,
Thank you for the speedy and efficient peer review process. I appreciate the fact that your peer reviewers do not take months to respond like with some other journals. I would also like to thank the editorial office for responding quickly to my questions. It is an excellent journal. I plan to submit more manuscripts in the future.
Best wishes from,
Robert W. McGee
Robert W McGee
Dear Grace Pierce,
Editorial Coordinator of Journal of Clinical Research and Reports,
Working with you and your team on our recent publication in JCRR has been a truly wonderful and enjoyable experience. The responses were prompt, and the reviewers were patient, constructive, and highly professional. One reviewer in particular gave me the feeling that a professor was carefully reading and commenting on my coursework, which was deeply touching. The entire process was straightforward and hassle‑free, with no tedious online forms to complete. I highly recommend this journal.
Best wishes from,
DR Aibing Rao, Head of R&D
Aibing Rao
I Appreciate the Opportunity to Share my Experience with the Journal of Clinical Research and Reports. The peer review process was timely and constructive, and the feedback provided helped improve the quality of our manuscript. The editorial office was professional, responsive, and supportive throughout the process, ensuring smooth communication and efficient handling of the submission. Overall, it was a positive experience collaborating with your team.
Kashani Mehdi
Dear Mercy Grace,
Editorial Coordinator of Obstetrics Gynecology and Reproductive Sciences,
We would like to express our gratitude for your help at all stages of publishing and editing the article. The editors of the magazine answer all the necessary questions and help at every stage.
We will definitely continue to cooperate and publish other works in the Obstetrics Gynecology and Reproductive Sciences!
Best wishes from,
Alla Konstantinovna Politova,