Abstract

With the help of sequence data, gene function and the secondary structure of RNA can each be inferred. If facts are contained inside genes, then proteins are the laborers who turn this record into domestic affairs. Proteins are known to play an important role in the process of survival, and the 3-dimensional (3-D) shape they possess is an important component of their functionality. Protein size prediction is a primary use of computational tools within the proteomics field. Proteins are quite complex polymers with thousands of atoms and boundaries in their structure. The strategies used in systems mastering are also used in the practice of evolution and, in particular, in the reconstruction of phylogenetic trees. The evolution of species can be shown in a simplified shapefile using phylogenetic trees.

Keywords

• Machine,
• , Learning,
• phylogenetic trees,
• computational tools,
• 3-dimensional

References

• Mohri,M.,A.Rostamizadeh,andA.Talwalkar,Foundationsofmachinelearning.2018:MIT press.
• Wikipedia, C. Machine learning. 18 May 2019 22:31 UTC 21 May 2019 20:06UTC]; Available from:https://en.wikipedia.org/w/index.php?title=Machine_learning&oldid=897720835.
• Wikipedia, C. Learning to rank. 14 May 2019 17:50 UTC 21 May 2019 20:13UTC]; Available from https://en.wikipedia.org/w/index.php?title=Learning_to_rank&oldid=897087901.
• Wikipedia, C. Cluster analysis. 20 April 2019 21:19 UTC 21 May 2019 20:12UTC]; Available from:https://en.wikipedia.org/w/index.php?title=Cluster_analysis&oldid=893363946.
• LeCun, Y., Y. Bengio, and G. Hinton, Deep learning. Nature, 2015. 521(7553): p.436-444.
• Bengio, Y., Learning deep learning for genomic, proteomic, and metabolomic data integration in precision medicine. Omics: a journal of integrative biology,2018. 22(10): p. 630-636.
• Alipanahi, B. , etal. , Predicting these sequence specificities of DNA and RNA-binding proteins by deep learning. Nature biotechnology,2015. 33(8): p. 831.c

This work is licensed under a Creative Commons Attribution 4.0 International License.