Bioinformatics-driven Approaches in Modern Drug Design and Development | Chapter 7 | Innovations in Science and Technology: Shaping a Sustainable Future (Vol. 1)

Bioinformatics serves as the comprehensive solution for addressing various challenges in drug design, encompassing issues such as high costs, staffing needs, technical expertise requirements, regulatory constraints, and time limitations. Despite significant investments in financial and human resources, drug development endeavours often fall short of achieving market success. The genomic sequence generated by bioinformatics is pivotal, expediting gene identification for scientists. Traditional drug development processes are not only costly and time-consuming but also prone to failure. Industry observers emphasize the importance of streamlining drug development and discovery to uphold pharmaceutical companies & profitability and productivity. Numerous fields are included in bioinformatics, such as population genetics, transcriptomics, proteomics, genomic analysis, and molecular phylogenetics. Within the process of drug discovery, the persons working in the field of bioinformatics leverage molecular data having high throughput to compare symptomatic subjects against normal controls, aiming to establish connections between disease symptoms and various genetic, epigenetic, and environmental factors. Key objectives include identifying drug targets, refining drug candidates, and assessing potential drug resistance and environmental impacts. As a data-driven field, bioinformatics continually evolves, adapting databases and algorithms to novel data types. Its applications are vital for predicting biomolecules supporting treatment, prevention, and mechanisms of action against infectious diseases, utilizing tools to analyze biological data from diverse omics fields. Moreover, bioinformatics methodologies facilitate experimental molecular biology by extracting meaningful insights from extensive raw data, particularly in genetics, where it aids in genome sequencing, annotation, and visualization of mutations. Additionally, bioinformatics enables the storage, management, and prediction of drug targets, laying the groundwork for further research to solidify links between targets and diseases. Overall, bioinformatics empowers computers to genetic interactions, and handle pathways, structures, sequences and functions, shaping the forefront of biological research and drug discovery.

 

Author(s)details:-

 

Ripu Daman
Department of Biotechnology, Chaudhary Bansi Lal University, Bhiwani, Haryana, India.

 

Ripu Daman
Department of Biotechnology, Chaudhary Bansi Lal University, Bhiwani, Haryana, India.

 

Please See the book here :- https://doi.org/10.9734/bpi/mono/978-81-973809-6-9/CH7

Investigating the Systems Biology in the Context of Big Data, Statistics and Networks| Chapter 2 | Recent Research Advances in Biology Vol. 2

 Science has been going through two rapidly evolving phenomena since the beginning of the current millennium: one is that the capabilities of computers and software tools are increasing from terabytes to petabytes and beyond, and the other is the advancement in molecular biological experiments that generate piles of genome and RNA sequence data, protein and metabolite abundance, protein-protein protein-protein abundance, These two domains, as a natural result, have been complemented by other branches of science, such as statistics, mathematics, physics, chemistry, etc. The emergence of big data biology, network biology and many other new subjects was thus induced by the combination of flexible expertise. Network biology makes it easier to understand cell or cellular components and sub-processes at the system level. Thus, advanced biology has recently become a data-intensive science, and system biology is the name of this very modern branch of biology. The purpose of the biology of systems is to understand organisms or cells. On different levels of roles and processes as a whole. However to accomplish that along the way, Objective Many other functional applications will be invented and implemented, such as the development of new applications Medical tests for development, medications, foods, electricity, materials, sensors, etc. The biology of processes now faces the Challenges in the study of massive biological molecular data and vast biological networks. Chapter of This Book In the sense of Big Data, Statistics and Networks, it will focus on certain aspects of Systems Biology.

Author (s) Details

Md. Altaf-Ul-Amin
Nara Institute of Science and Technology (NAIST), Japan.

Farit Mochamad Afendi
Bogor Agricultural University, Indonesia.

Shigehiko Kanaya
Nara Institute of Science and Technology (NAIST), Japan.


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