The Computer-Assisted Sequence Annotation (CASA) workflow for enzyme discovery.

ABSTRACT:

Premise

With the advent of inexpensive nucleic acid sequencing and automated annotation at the level of basic functionality, the central problem of enzyme discovery is no longer finding active sequences, it is determining which ones are suitable for further study. This requires annotation that goes beyond sequence similarity to known enzymes and provides information at the sequence and structural levels.

Methods

Here we introduce a workflow for generating highly informative, richly annotated sequence alignments from protein sequence data. Computer-Assisted Sequence Annotation (CASA) is a freely available Python-based workflow designed to automate portions of novel protein characterization, while producing a human-interpretable final output.

Results

We demonstrate CASA

SUBMITTER: Takahashi GR 

PROVIDER: S-EPMC12319702 | biostudies-literature | 2025 Jul-Aug

REPOSITORIES: biostudies-literature