The translational termination signal database (TransTerm) now also includes initiation contexts

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• The TransTerm database previously focused on termination codon contexts.
• Understanding codon usage and initiation sites is crucial for deciphering gene expression regulation.

Purpose of the Study:

• To expand the TransTerm database with sense codon usage and initiation codon contexts.
• To facilitate research on the relationships between the three phases of protein synthesis.

Main Methods:

• The database was constructed using 23,721 coding sequences from 93 organisms.
• Included data: sequences around initiation and termination codons, GC3, codon adaptation index (CAI), effective number of codons (Nc).
• Generated summary tables for each organism, including codon usage, stop signal usage, and base frequency matrices.

Main Results:

• The expanded TransTerm database now provides comprehensive data on codon contexts across multiple organisms.
• Detailed information on initiation and termination sites, codon usage bias, and translation efficiency metrics are available.
• The integrated data facilitates comparative analyses of protein synthesis regulation.

Conclusions:

• The enhanced TransTerm database serves as a valuable resource for investigating the interplay of initiation, elongation, and termination in protein synthesis.
• The inclusion of diverse genomic data supports studies on codon usage patterns and their evolutionary implications.
• Researchers can leverage this database to explore gene expression regulation and optimize protein production in various organisms.