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History of computers in pharmaceutical research and development
A depiction of early pharmaceutical research without computers, scientists using
manual methods for data analysis.
1. 1950s-1960s - Emergence of Computers:During this period, the first computers,
such as UNIVAC and IBM 650, were introduced, aiding basic data processing in
pharmaceutical labs.
2. 1970s-1980s - Digitalization and Data Management:The industry witnessed a
shift from manual methods to digitalization, with the advent of databases and
electronic data storage systems
3. 1990s - High-Performance Computing:Supercomputers became integral,
facilitating complex simulations and molecular dynamics crucial for drug
discovery.
4. 2000s - Bioinformatics Revolution:Bioinformatics tools gained prominence,
enhancing genomics, proteomics research, and the incorporation of computer-
aided drug design (CADD)
5. 2010s - Big Data and Machine Learning:the era saw the rise of big data
analytics, revolutionizing large-scale studies. Machine learning algorithms played
a pivotal role in drug discovery and candidate prediction.
6. 2020s - AI in Pharmaceutical R&D:Artificial Intelligence (AI) took center
stage, contributing to virtual trials, personalized medicine, and collaborative
efforts between AI and human researchers.
7. Current Trends:Visual representation of current trends like quantum computing
in pharmaceutical research.
8. Future Prospects:Speculation on the future integration of advanced technologies
like quantum computing and AI.
Made By:-Urvashi Saini(M-410)
Overview on History of computers in pharmaceutical research an.docx

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Overview on History of computers in pharmaceutical research an.docx

  • 1. History of computers in pharmaceutical research and development A depiction of early pharmaceutical research without computers, scientists using manual methods for data analysis. 1. 1950s-1960s - Emergence of Computers:During this period, the first computers, such as UNIVAC and IBM 650, were introduced, aiding basic data processing in pharmaceutical labs. 2. 1970s-1980s - Digitalization and Data Management:The industry witnessed a shift from manual methods to digitalization, with the advent of databases and electronic data storage systems 3. 1990s - High-Performance Computing:Supercomputers became integral, facilitating complex simulations and molecular dynamics crucial for drug discovery. 4. 2000s - Bioinformatics Revolution:Bioinformatics tools gained prominence, enhancing genomics, proteomics research, and the incorporation of computer- aided drug design (CADD) 5. 2010s - Big Data and Machine Learning:the era saw the rise of big data analytics, revolutionizing large-scale studies. Machine learning algorithms played a pivotal role in drug discovery and candidate prediction. 6. 2020s - AI in Pharmaceutical R&D:Artificial Intelligence (AI) took center stage, contributing to virtual trials, personalized medicine, and collaborative efforts between AI and human researchers. 7. Current Trends:Visual representation of current trends like quantum computing in pharmaceutical research. 8. Future Prospects:Speculation on the future integration of advanced technologies like quantum computing and AI. Made By:-Urvashi Saini(M-410)