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Drug Discovery: Overview01:26

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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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Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
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The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
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FDA Approved Drugs: Changes to Approved Drugs01:26

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Post-approval, manufacturers may modify an approved new or generic drug product. Such modifications can encompass alterations in the Active Pharmaceutical Ingredient (API), manufacturing process, formulation, batch size, manufacturing site, and container closure system (FDA Guidance for Industry, April 2004). Often, a drug product may undergo multiple changes.These modifications require careful evaluation to determine their potential impact on the drug product's identity, strength, quality,...
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The pharmacokinetic journey of drugs from solid oral dosage forms into systemic circulation is multifaceted. It begins with disintegration, a prerequisite ensuring a solid dosage form's subdivision into minute particles. Dissolution occurs next as these granulated entities solubilize in gastrointestinal fluids. This solubilization is crucial for the succeeding stage, permeation, which describes the traversal of the drug across the intestinal membrane and its subsequent entry into the blood...
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Drug binding to proteins is a complex phenomenon influenced by various drug-related factors, each playing a significant role in the interaction between drugs and proteins within the body.
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Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
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Text Mining for Drug Discovery.

Si Zheng1, Shazia Dharssi2, Meng Wu1

  • 1Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Methods in Molecular Biology (Clifton, N.J.)
|March 9, 2019
PubMed
Summary
This summary is machine-generated.

Text mining is crucial for life sciences due to the overwhelming growth of biomedical literature. This approach supports in silico drug discovery, including target screening and adverse event detection.

Keywords:
Biomedical literatureBiomedical text miningDeep learningDrug discoveryElectronic medical records

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Area of Science:

  • Biomedical Sciences
  • Life Sciences
  • Computational Biology

Background:

  • Exponential growth in biomedical literature necessitates advanced information processing.
  • Manual curation of scientific literature is becoming infeasible.
  • Text mining offers a solution for managing and extracting knowledge from large datasets.

Purpose of the Study:

  • To introduce text mining applications in drug discovery.
  • To provide an overview of text mining in biosciences.
  • To review strategies for specific text mining applications in drug discovery.

Main Methods:

  • Overview of text mining techniques in biosciences.
  • Review of strategies and methods for four distinct drug discovery applications.
  • Focus on in silico drug discovery processes.

Main Results:

  • Text mining facilitates in silico drug discovery tasks.
  • Identified applications include drug target screening and adverse drug event detection.
  • Strategies for applying text mining in pharmacogenomics are discussed.

Conclusions:

  • Text mining is essential for navigating the expanding biomedical literature.
  • The chapter details practical applications of text mining in modern drug discovery.
  • Effective text mining strategies can accelerate the drug discovery pipeline.