Volume: 1, 2022
1st International PhD Student’s Conference at the University of Life Sciences in Lublin, Poland: ENVIRONMENT – PLANT – ANIMAL – PRODUCT
Abstract number: AI002
DOI: https://doi.org/10.24326/ICDSUPL1.AI002
Published online: 26 April 2022
ICDSUPL, 1, AI002 (2022)
An introduction to artificial intelligence in predicting splicing expression
Marcin Kondracki1*
1 Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
* Corresponding author: marcin.kondracki@up.lublin.pl
Abstract
Many viruses with a simple structure, such as AMDV (Aleutian Disease Virus), for example, are difficult to detect because of the many spliced products. Understanding the structural mechanisms of splicing and their importance in the assembly of genes in relation to the produced proteins is a very important element in the detection of viral infections, mutation elements and the development of the CRISPR / Cas9 methodology. The use of artificial intelligence in collecting a database of entire gene segments as well as spliced products will help us understand the development of viruses and general gene expression, the program under which we are working on is to calculate the probability of a given product on the basis of the data and link them with the structural structure of proteins. This will allow for the effective development of methods for the detection of mutations and viruses after the genetic sequence of the studied area in the genome is known. The program will be developed so that, after introducing the “artificial sequence”, the program will be able to determine the structure of the product even in the case of including non-canonical amino acids in the sequences, in this way, using artificial intelligence, we will obtain new tools in genetic engineering that will be much cheaper and ultimately will be used for the first stages of drug development, gene therapies and the development of new genetic tests for the detection of viral infection. The program is written in Python and R, preliminary work is at an early stage.
How to cite
M. Kondracki, 2022. An introduction to artificial intelligence in predicting splicing expression. In: 1st International PhD Student’s Conference at the University of Life Sciences in Lublin, Poland: Environment – Plant – Animal – Product. https://doi.org/10.24326/ICDSUPL1/AI002