08/08/2020
REGISTER BEFORE 9th AUGUST. LINK IS ATTACHED IN BIO.
Greetings!
Biobytes is pleased to announce a Kaggle competition for all the young minds out there who have an interest in biology and a knack for machine learning.
If you do not have any previous experience or knowledge about ML, there is nothing to worry about. The contest will be a beginner level challenge that should provide a great opportunity if you want to learn about Machine Learning and Data Science.
Requirements:
1. Basic python
2. Dedication to putting in efforts
Problem Overview:
Proteins are the molecular workforces in living organisms that perform a broad range of essential functions, catalyze metabolic reactions, replicate DNA, respond to stimuli, provide movement, and much more.
So in this challenge, we will try to look upon a specific type of protein named RBPs (RNA Binding Proteins) with a particular function, i.e., to bind to a specific target site on RNA. RBPs bind to specific target sites; how they identify these sites is still under research. Understanding how these proteins bind to a particular RNA is of great importance as it can provide us with another way to identify target proteins with similar functions. So the identification of RBPs and their binding sites is a significant challenge in the field of molecular recognition. Determining the RNA interacting residues in a protein from its structure is quite easy, but it is time-consuming and costly.
What do we want?
Develop a machine learning model to predict RNA binding sites of a protein from its amino acid sequence.
Evaluation criteria:
Participants will be evaluated based on the Area Under Curve (AUC) of ROC for their Kaggle Submissions.
Plagiarism will not be tolerated and will result in disqualification.
ONLY REGISTERED USERS WILL RECIEVE THE CONTEST LINK.
ABOUT CONTEST:
MODE: ONLINE
PRIZE: 2000 INR
WHERE: https://www.kaggle.com/
WHEN: 10-16th AUGUST
TEAM SIZE: 1-4
LAST DATE TO REGISTER: 9th AUGUST
REGISTRATION FORM: https://bit.ly/2XnfFOj
FOR MORE INFO JOIN OUR TELEGRAM CHANNEL: t.me/biobytes