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
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
39-75Informations de copyright
© 2020 Biomedical Informatics.