Chemsearch

Chemsearch manages chemical compound libraries and associated data files and provides search and similarity-based structural queries to support compound identification and analysis.

Key Features:

• Library management: Manages chemical compound libraries along with associated data files and metadata.
• Search functionality: Supports browsing and searching libraries by various criteria to retrieve specific compounds.
• Similarity search: Identifies structurally similar compounds for comparison and selection.
• Structural-property queries: Locates compounds that match desired structural properties.
• Access control: Provides provisions for access control to secure and manage data access.
• Centralized data storage: Centralizes document and data storage for chemical datasets.
• Google Workspace integration: Integrates with Google Workspace accounts for account-based integration.
• Flask implementation: Implemented as a Flask web application.

Scientific Applications:

• Compound identification: Enables precise identification and retrieval of chemical compounds from libraries.
• Structure-based selection: Supports selection of compounds based on structural similarity or properties.
• Chemical informatics data management: Facilitates organization and secure storage of chemical datasets for large-scale bioinformatics projects.
• Bioinformatics workflows: Supports bioinformatics research workflows that require curated compound libraries and structural queries.

Methodology:

Implemented as a Flask web application that provides search and similarity-based queries, integrates with Google Workspace accounts, centralizes document and data storage, and enforces access control.