Physicochemical Properties of GERD Drug Compounds

Physicochemical properties provide essential molecular descriptors for drug compounds targeting Gastroesophageal Reflux Disease. The dataset, created by Mythiali V and last updated in April 2026, is intended for cheminformatics and QSAR modeling.

Use Cases

• Build QSAR/QSPR models to predict biological activity from physicochemical property descriptors.
• Screen and prioritize GERD drug candidates by analyzing computed or experimental property values.
• Complement graph-based molecular descriptors like degree indices with property-based feature sets for machine learning.
• Study the relationship between specific physicochemical properties and drug efficacy for reflux disease treatment.

Strengths

• Properties are derived from experiment or computation, not estimated.
• Data is openly shared under a permissive CC-BY-4.0 license.

Limitations

• The number of compounds (rows) and specific properties (columns) are unknown, limiting assessment of scope.
• Potential class imbalance or bias is unverified without sample data.

Provenance

Source

figshare, author Mythiali V.

Collection Method

Properties are experimentally derived or computed, complementing graph-based descriptors.

Time Range

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Freshness

Last updated April 2026, indicating planned maintenance.

Geography

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