In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting lysine succinylation sites in proteins, one of the most important post modifications in proteins [1].
To see how the web-server is working, please do the following.
Step 1. Opening the web-server at you will see the top page of iSuc-PseOpt on your computer screen, as shown in Figure 1. Click on the Read Me button to see a brief introduction about this predictor.
Figure 1: A semi-screenshot for the top-page of the iSuc-PseOpt web-server at (Adapted from [1] with permission).
Step 2. Either type or copy/paste your query protein sequences into the input box at the center of Figure1. The input sequences should be in the FASTA format. For the examples of sequences in FASTA format, click the Example button right above the input box.
Step 3. Click on the Submit button to see the predicted result. For example, if you use the Sequences in the Example window as the input, after a few seconds, you will see the corresponding predicted results, which is fully consistent with experiment observations.
Step 4. Click the Data button to download the benchmark dataset used in this study.
Step 5. Click the Citation button to find the relevant papers that document the detailed development and algorithm for iSuc-PseOpt.
It is anticipated that the Web-Server will be very useful because
the vast majority of biological scientists can easily get their desired
results without the need to go through the complicated equations
in [1] that were presented just for the integrity in developing
the predictor. Also, note that 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 [2] and three
comprehensive review papers [3-5] (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. It has not escaped our notice that during the development
of iDNA6mA-PseKNC web-server, the approach of general pseudo
amino acid components [6] or PseAAC [7] had been utilized and
hence its accuracy would be much higher than its counterparts,
as concurred by many investigators [8, 9]. For the marvelous and
awesome roles of the “5-steps rule” in driving proteome, genome
analyses and drug development, see a series of recent papers
[10-31]where the rule and its wide applications have been very
impressively presented from various aspects or at different angles.
Chou KC (2020) The pLoc_bal-mGneg Predictor is a Powerful Web-Server for Identifying the Subcellular Localization of Gram-Negative Bacterial Proteins based on their Sequences Information Alone. ijSci 9: 27-34.
Chou KC (2020) How the artificial intelligence tool iRNA-2methyl is working for RNA 2’-Omethylation sites. Journal of Medical Care Research and Review 3: 348-366.
Chou KC (2020) The pLoc_bal-mVirus is a powerful artificial intelligence tool for predicting the subcellular localization of virus proteins according to their sequence information alone. J Gent & Genome 4.
Chou KC (2019) How the artificial intelligence tool iSNO-PseAAC is working in predicting the cysteine S-nitrosylation sites in proteins. J Stem Cell Res Med 4: 1-9.
Chou KC (2020) Showcase to illustrate how the web-server iRNA-Methyl is working. J Mol Genet 3: 1-7.
Chou KC (2020) Showcase to illustrate how the web-server iSNO-AAPair is working. J Gent & Genome 4.
Chou KC (2020) The pLoc_bal-mHum is a Powerful Web-Serve for Predicting the Subcellular Localization of Human Proteins Purely Based on Their Sequence Information. Adv Bioeng Biomed Sci Res 3: 1-5.
Chou KC (2020) Showcase to Illustrate How the Web-server iPTM-mLys is working. Infotext Journal of Infectious Diseases and Therapy [IJID] 1: 1-16.
Chou KC (2020) The pLoc_bal-mGpos is a powerful artificial intelligence tool for predicting the subcellular localization of Gram-positive bacterial proteins according to their sequence information alone. Glo J of Com Sci and Infor Tec 2: 01-13.
Chou KC (2020) Showcase to illustrate how the web-server iPreny-PseAAC is working. Glo J ofCom Sci and Infor Tec 2: 1-15.
Chou KC (2020) Some illuminating remarks on molecular genetics and genomics as well as drug development. Molecular Genetics and Genomics 295: 261-274.