DNA binding protein and RNA binding protein recognition database
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DNA binding protein and RNA binding protein recognition database
DNA binding protein and RNA binding protein recognition database. We all know that proteins can regulate various functions of cells by interacting with nucleic acids (DNA and RNA), such as gene expression, transcription control, translation, post-transcriptional regulation, alternative splicing, chromatin stability and modification, etc. Participate in the occurrence and development of some important diseases, such as cancer. Therefore, it is very important to accurately identify proteins that bind to DNA or RNA.
Of course, the experiment is the most accurate and can accurately identify these proteins, such as ChIP. But what about poor scholars who have no money? Are you halting?
Of course not, today I will introduce to you an online website for identifying DNA binding protein (DBP) and RNA binding protein (RBP): iDRBP_MMC. Speaking of RBP, it is not too unfamiliar to everyone. I just shared a website that recognizes RBP, RBP2GO, a few days ago. Those who haven’t read it can check it out. I won’t go into details here.
iDRBP_MMC is a new sequence-based computational predictor for the identification of DNA binding proteins and RNA binding proteins. Multi-label learning and a novel motif-based convolutional neural network are used. It reduces the cross prediction between DNA binding protein and RNA binding protein, and improves the prediction performance of identifying DNA binding protein and RNA binding protein, and overcomes the problem of cross prediction (DBP predictor tends to predict RBP as DBP, while RBP Predictors tend to predict DBP as RBP), which is a useful tool for predicting nucleic acid binding proteins.
Okay, so long and long, here is the link: http://bliulab.net/iDRBP_MMC/. Open the official website according to the link (Microsoft Edge and Google Chrome browsers are recommended).
In fact, the content of this website is very simple, only three steps are required: input sequence, submit, see result, and it’s done! Then let’s simply operate it below.
Step 1: Enter the protein sequence to be queried
First click “Server” in the menu bar to enter the query interface. The editor here takes the sample data provided by the website as an example for a brief introduction. Click “Examples” to automatically enter the built-in sequence; or click the “Select File” button to upload the downloaded FASTA sequence directly.
Note: All input sequences should be in FASTA format. “Reset” can clear all input sequences. The email address is optional, I suggest to enter it for saving the results.
Step 2: Submit query
After clicking Submit, you will enter the following processing page. The figure below represents the work is being processed, just wait patiently (usually about 5min). Or you can copy the link below and save it for later inquiries.
Step 3: View the results
After the analysis is completed, the specific analysis results will be displayed. Note that the results will only be stored for 7 days, so we must remember to click “Download” to download and save.
Well, about the use of this database, I will introduce it here first. You can try your own protein and develop ideas for your scientific research.
(source:internet, reference only)
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