Biotechnology, Bioinformatics and Bioinformation in an Autobiography.

AFP Academic Freedom Bioinformatics Bioinformation Biotechnology Books Business Citations Conferences Editing Enzymes Epitope design Exons Farming Gene fusion Genome analysis HLA typing Introns Journalism Lipase Meetings PPI Peers Research Research Impact Scientists Social Responsibility Students Teaching cry toxins h Index

Journal

Bioinformation
ISSN: 0973-2063
Titre abrégé: Bioinformation
Pays: Singapore
ID NLM: 101258255

Informations de publication

Date de publication:
2020
Historique:
received: 01 01 2020
accepted: 31 01 2020
medline: 31 1 2020
pubmed: 31 1 2020
entrez: 14 6 2023
Statut: epublish

Résumé

Science is observation. Application of Science is engineering. A 0% error is desired in Science, while a 25% error is usually allowed in Engineering. Technology is engineering with Science where the error rate is considerably reduced to improve precision. Biotechnology is truly interdisciplinary with an optimal mix of physics, chemistry and biology linked by Mathematics. Chemistry evolved into Chemical Engineering and thus Biochemistry into Biochemical Engineering. Biochemical engineering with genetics and molecular biology created Biotechnology. Biotechnology with computer science developed Bioinformatics. Bioinformatics used biological data to glean BIOINFORMATION for Biological Knowledge Discovery (BKD). This helped to accelerate drug discovery and develop other biologics (biomarkers, vaccines, seed developments, bio-fertilizers and bio-pesticides) towards improved service in healthcare, agriculture, food production, food processing and food distribution across international borders as per demand supply in the supply chain. It is joyful to realize the personal experience with the multifaceted features of Biotechnology, Bioinformatics and Bioinformation in a comprehensive manner over a period of three decades. This educational path is truly exciting, engaging and enterprising. This journey provided an opportunity to debate on cry toxins, lipase, ibuprofen, HLA alleles, antigens, peptide vaccines, protein-protein interactions, genomes and biological knowledge discovery models.

Identifiants

pubmed: 37313394
doi: 10.6026/97320630016039
pii: 97320630016039
pmc: PMC10259221
doi:

Types de publication

Editorial

Langues

eng

Pagination

39-75

Informations de copyright

© 2020 Biomedical Informatics.

Auteurs

Pandjassarame Kangueane (P)

Biomedical Informatics Private Limited, Irulan Sandy Annex, Pondicherry 607 402.

Classifications MeSH