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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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Clinical Trials: Overview01:11

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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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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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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Drug Biotransformation: Overview01:16

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Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
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Updated: Jan 17, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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Drug and Clinical Candidate Drug Data in ChEMBL.

Fiona M I Hunter1, Harris Ioannidis1, A Patrícia Bento1

  • 1European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.

Journal of Medicinal Chemistry
|September 19, 2025
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Summary

The ChEMBL database provides curated drug data, including structures and properties, for over 17,500 approved and developing drugs. This resource aids drug discovery and AI applications by offering FAIR data principles.

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Area of Science:

  • Biomedical Informatics
  • Medicinal Chemistry
  • Drug Discovery

Background:

  • ChEMBL is a comprehensive, open-access database of bioactive molecules.
  • It includes over 17,500 approved drugs and those in clinical development.
  • Data curation is a foundational aspect of the ChEMBL database.

Purpose of the Study:

  • To serve as a reference guide for ChEMBL drug data curation principles.
  • To enhance user understanding of the data's nature and context.
  • To highlight the utility of ChEMBL data in drug discovery and AI.

Main Methods:

  • Systematic curation of drug information.
  • Integration of diverse data types including chemical structures, biological data, and clinical information.
  • Adherence to FAIR data principles (Findable, Accessible, Interoperable, Reusable).

Main Results:

  • ChEMBL 35 offers extensive data on drug names, structures, sources, indications, mechanisms, and properties.
  • Detailed information includes maximum phase of development, molecule type, prodrug status, and first approval.
  • The database facilitates understanding of drug properties and development history.

Conclusions:

  • The curated ChEMBL drug data is essential for drug discovery research.
  • Understanding curation principles improves data interpretation and application.
  • ChEMBL serves as a valuable resource for AI and machine learning in pharmacology.