Computation in BioInformatics

11 Chapter 11Figure 11.1 Role of bioinformatics in cancer detection.Figure 11.2 Pipeline analysis.Figure 11.3 Different bioinformatics-based approaches.Figure 11.4 Steps involved in SLAMS.Figure 11.5 Steps involved in COPA.

12 Chapter 12Figure 12.1 Prevalence of PCOS and its sign and symptoms.Figure 12.2 Differences between normal ovulation and cyst formation (PCOS).Figure 12.3 Factors and food that cause PCOS.Figure 12.4 Factors and reasons behind the infertility condition.Figure 12.5 Insulin resistance (IR) causes and symptoms.

13 Chapter 14Figure 14.1 The difference between the genomics and proteomics. (Source: https:/...Figure 14.2 Gel-based proteomics. (Source: https://www.slideshare.net/AngelSFord...

14 Chapter 15Figure 15.1 The difference between non-covalent and covalent complexes. (a) Inte...Figure 15.2 Covalent bond between protein and peptide substrate (PDB: 1AIM, www....Figure 15.3 OXA23-imipenem interactions (the picture represents the significance...Figure 15.4 The pKa values of existing ionizable residues in the protein will ha...

1 Chapter 1 Table 1.1 The list of modeling softwares that are generally used in protein mode... Table 1.2 The list of molecular docking softwares is represented in tabular form... Table 1.3 The list of molecular docking tools is represented in tabular form. Table 1.4 The list of softwares used in the steps of drug designing is represent...

2 Chapter 3Table 3.1 List of some widely and freely available tools and software’s for mole...Table 3.2 List of some widely and freely used tools for physicochemical, toxicit...

3 Chapter 5Table 5.1 Types of screening modes [27].

4 Chapter 7Table 7.1 Milestones in bioinformatics [22].

5 Chapter 10Table 10.1 Types of DNA [230].Table 10.2 Comparison of different types of RNA [233].Table 10.3 Difference between DNA and RNA [235].Table 10.4 Several key articles concerning DNA barcodes have been published sinc...Table 10.5 A brief of the commonly used programs used for the phylogeny and DNA ...Table 10.6 Comparison of the commonly used NGS methods.

6 Chapter 15Table 15.1 The drug discovery process and descriptions.

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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106

Artificial Intelligence and Soft Computing for Industrial Transformation

Series Editor: Dr S. Balamurugan (sbnbala@gmail.com)

Scope: Artificial Intelligence and Soft Computing Techniques play an impeccable role in industrial transformation. The topics to be covered in this book series include Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Fuzzy Logic, Genetic Algorithms, Particle Swarm Optimization, Evolutionary Algorithms, Nature Inspired Algorithms, Simulated Annealing, Metaheuristics, Cuckoo Search, Firefly Optimization, Bio-inspired Algorithms, Ant Colony Optimization, Heuristic Search Techniques, Reinforcement Learning, Inductive Learning, Statistical Learning, Supervised and Unsupervised Learning, Association Learning and Clustering, Reasoning, Support Vector Machine, Differential Evolution Algorithms, Expert Systems, Neuro Fuzzy Hybrid Systems, Genetic Neuro Hybrid Systems, Genetic Fuzzy Hybrid Systems and other Hybridized Soft Computing Techniques and their applications for Industrial Transformation. The book series is aimed to provide comprehensive handbooks and reference books for the benefit of scientists, research scholars, students and industry professional working towards next generation industrial transformation.

Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com) Phillip Carmical ( pcarmical@scrivenerpublishing.com)

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