Waqar Hanif 1¥, Muhammad Amin Afzal 1¥, Saba Ansar 1, Muntaha Saleem 1, Ayesha Ikram 1, Shumaila Afzal 1, Seemab Amjad Fateh Khan 2, Sajjad Ahmad Larra 1, Hasnat Noor 1*
1 Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
2 Department of Pharmacy, Novomed Hospital, Dubai, United Arab Emirates
There are considerable improvements over the years in both Bioinformatics and Computer Sciences leading to multiple breakthroughs in the respective fields. As bioinformatics is about finding new ways to analyze the data (huge data) for logical conclusions. Artificial Intelligence can be used to analyze process and categorize the gigantic amount of biological data in less time. Numerous AI algorithms have been developed and used in bioinformatics analyses. Such algorithms are used to generate knowledge in an efficient way. The algorithms based on the applications of AI helps in molecular dynamic simulations, discovering vaccines for diseases, molecular docking analyses, identifications of novel compounds, ADMET properties, machine and deep learning of tools and in silico structure prediction. This review article summarizes the applications of AI that employed in bioinformatics; specifically, genetic algorithm in bioinformatics tools.