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Related Concept Videos

Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Drug Administration and Therapy Phases: Overview01:26

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Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
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Preclinical Development: Overview01:28

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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Artificial Intelligence in Accelerating Drug Discovery and Development.

Anushree Tripathi1, Krishna Misra2, Richa Dhanuka1

  • 1Department of Computer Science and Engineering, National Institute of Technology Patna (NITP), Patna-800005, India.

Recent Patents on Biotechnology
|August 5, 2022
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) accelerates drug discovery and development, overcoming challenges in creating treatments for diseases like COVID-19. AI and machine learning offer efficient solutions for complex pharmaceutical research.

Keywords:
COVID-19Drug designartificial intelligence (AI)bioinformaticsmachine learning (ML)pharmaceutical applications

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Area of Science:

  • Pharmaceutical Sciences
  • Computational Biology
  • Infectious Diseases

Background:

  • Drug discovery is complex, costly, and time-consuming.
  • The COVID-19 pandemic highlighted the urgent need for rapid therapeutic development.
  • Traditional methods face significant challenges in addressing global health threats.

Conclusions:

  • AI-driven methods are crucial for overcoming drug discovery hurdles.
  • AI accelerates the development of vaccines and drugs for COVID-19 and other diseases.
  • AI integration promises more effective solutions for global health challenges.