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Artificial Intelligence Helps in Drug Designing and Discovery.pptx

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Artificial Intelligence Helps in Drug Designing and Discovery.pptx

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Artificial Intelligence Helps in Drug Discovery And
Development
Presented by: Abhinash Sahoo
Roll no:- 22BI01
M.Sc. Bioinformatics
OBJECTIVE:
• INTRODUCTION
• DIFFERENCE BETWEEN AI , ML , AND DL
• APPLICATION OF AI
• APPLICATION/APPROACHES FOR DRUG DISCOVERY
• CONCLUSIONS
• DRUG DISCOVERY
INTRODUCTION
01
INTRODUCTION
01.
• DRUG DISCOVERY HAS ALWAYS BEEN MORE OF A GUESSING GAME.
• A GAME OF TRIAL AND ERROR.
• OFTEN SCIENTISTS CAN ONLY GUESS THE MECHANISM THAT CAUSING
AN ILLINESS FROM INITIAL MOLECULE DISCOVERY TO BRINGING A
NEW DRUG TO MARKET.
• IT TAKES AT LEAST 10 YEARS TO COMPLETE THE PROCESS OF MAKING
A DRUG
• COSTING APPROXIMATELY 2.5 BILLION DOLLARS.
• GIVEN THE CURRENT SCENARIO THERE IS A HUGE NEED TO FASTER
THIS PROCESS.
• THIS IS WHERE ARTIFICIAL INTELLIGENCE HAS COME INTO PLAY.
DIFFERENCEBETWEENAI , ML&
DL
02
Artificial intelligence (AI) is the
ability of a computer or a robot
controlled by a computer to do
tasks that are usually done by
humans.
Machine learning is a branch of artificial
intelligence (AI) and computer science
which focuses on the use of data and
algorithms to imitate the way that humans
learn, gradually improving its accuracy.
Deep learning is a type of machine learning that
involves training artificial neural networks on large
amounts of data to make sense of, recognize, or
generate patterns, allowing the system to make
intelligent decisions without being explicitly
programmed for a specific task.

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Artificial Intelligence Helps in Drug Designing and Discovery.pptx

  • 1. Artificial Intelligence Helps in Drug Discovery And Development Presented by: Abhinash Sahoo Roll no:- 22BI01 M.Sc. Bioinformatics
  • 2. OBJECTIVE: • INTRODUCTION • DIFFERENCE BETWEEN AI , ML , AND DL • APPLICATION OF AI • APPLICATION/APPROACHES FOR DRUG DISCOVERY • CONCLUSIONS • DRUG DISCOVERY
  • 4. INTRODUCTION 01. • DRUG DISCOVERY HAS ALWAYS BEEN MORE OF A GUESSING GAME. • A GAME OF TRIAL AND ERROR. • OFTEN SCIENTISTS CAN ONLY GUESS THE MECHANISM THAT CAUSING AN ILLINESS FROM INITIAL MOLECULE DISCOVERY TO BRINGING A NEW DRUG TO MARKET. • IT TAKES AT LEAST 10 YEARS TO COMPLETE THE PROCESS OF MAKING A DRUG • COSTING APPROXIMATELY 2.5 BILLION DOLLARS. • GIVEN THE CURRENT SCENARIO THERE IS A HUGE NEED TO FASTER THIS PROCESS. • THIS IS WHERE ARTIFICIAL INTELLIGENCE HAS COME INTO PLAY.
  • 6. Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Deep learning is a type of machine learning that involves training artificial neural networks on large amounts of data to make sense of, recognize, or generate patterns, allowing the system to make intelligent decisions without being explicitly programmed for a specific task.
  • 10. • Drug discovery can be described as the process of identifying chemical entities that have the potential to become therapeutic agents. • The application of artificial intelligence (AI) is expanding to almost every field . In the field of drug discovery, AI is already making a significant impact. • The industry is extensively using AI algorithms and big data to enhance drug discovery research. • We will discuss four approaches that the biopharma industry is using AI in drug discovery. DRUGDISCOVERY 04.
  • 11. THERE ARE FOUR APPROACHES FOR DRUG DISCOVERY : 1. LARGE SCALE ANALYSIS OF DATA 2. PREDICTIVE ANALYSIS 3. VIRTUAL SCREENING 4. DRUG REPURPOSE
  • 13. 1. Large scale data analysis • Biological systems and experiments generate vast amounts of data. • However, analyzing this data manually is not feasible due to its sheer volume. • To address this challenge, the pharma industry is collaborating with companies like accenture to design AI algorithms capable of analyzing large amounts of biological data, including genomics, proteomics, and metabolomics data. • This approach helps identify potential drug targets and develop new drugs.
  • 15. 2. Predictive analysis • Predictive modeling combines AI and machine learning to predict the effectiveness and efficiency of a drug candidate based on its chemical structure, side effects, and other properties. • Additionally, AI algorithms can analyze the stereochemistry impact of a drug molecule on the body. • This approach enables the industry to evaluate the pharmacological effects of a drug candidate more accurately.
  • 17. 3. Virtual screening • AI can screen millions of compounds within minutes, significantly accelerating the drug discovery process. • Virtual screening helps identify potential drug candidates for specific diseases or targets. • AI, researchers can quickly identify the most efficient drug moieties without the need for extensive laboratory experiments.
  • 19. 4. Drug repurpose • AI can identify new uses for existing drugs by analyzing their molecular structures and potential binding sites. • This approach allows researchers to repurpose drugs for different diseases or conditions. • For example, the use of remdesivir in COVID-19 treatment was identified through AI analysis.
  • 20. CONCLUSION 1. WHY THE BIOPHARMA INDUSTRIES PREFER ARTIFICIAL INTELLIGENCE ? • SO, THE BIGGEST POINT OF BIOPHARMA INDUSTRY IS NOT THE MAN POWER,NOT THE TECHNOLOGY BUT THE PROCESS OF DRUG DISCOVERY IS VERY SLOW. • SO FOR THAT BIOPHARMA INDUSTRY ACTIVELY INVESTING ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ALGORITHMS AND BIOINFORMATICS IS TO SOLVE AND FASTER RESPONSES. • IN THE FUTURE THERE WILL BE 10,000 MOLECULES DISCOVERED EVERYDAY THAT’S THE POWER OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE .
  • 21. REFERENCE • https://doi.org/10.1016/j.jiph.2022.01.011 Covid-19 and Artificial Intelligence: Genome sequencing, drug development • Artificial intelligence in drug discovery and development https://doi.org/10.1016/j.drudis.2020.10.010 • https://www.youtube.com/watch?v=pZ3oAMB9iE&pp=ygUjYXJ0aWZpY2lhbCBpbnRlbGxpZ2VuY2 UgYmlvdGVjbmlrYSA%3D

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