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Updated: Mar 26, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Protein Sequence Annotation Tool (PSAT): a centralized web-based meta-server for high-throughput sequence

Elo Leung^1,2, Amy Huang³, Eithon Cadag^4,5

¹Computing Applications and Research, Global Security Computing Applications Division, Lawrence Livermore National Security, Livermore, CA, 94550, USA. elo.leung@personalis.com.

BMC Bioinformatics

|January 22, 2016

Summary

This summary is machine-generated.

The Protein Sequence Annotation Tool (PSAT) is a new web-based platform for high-throughput, genome-wide protein sequence analysis. It enables rapid enzyme predictions and functional annotations for large datasets, aiding in metabolic pathway discovery.

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

The need for efficient, high-throughput genome-wide sequence analysis is critical.
Existing tools often lack integration and scalability for large datasets.
A unified platform for diverse bioinformatics tools is required.

Purpose of the Study:

To develop an extensible, web-based meta-server for integrated sequence analysis.
To enable high-throughput functional annotations and enzyme predictions on large protein FASTA datasets.
To provide a user-friendly interface for executing multiple bioinformatics tools.

Main Methods:

Introduction of the Protein Sequence Annotation Tool (PSAT), a meta-server.
Integration of multiple sequence-based bioinformatics tools.
Web interface for convenient execution of analyses on large FASTA datasets.

Main Results:

PSAT successfully annotated predicted gene products of Herbaspirillum sp. strain RV1423.
Analysis using PSAT identified a putative catabolic pathway, distinguishing RV1423 from other species.
High-throughput enzyme predictions by PSAT revealed metabolic potential in a poorly annotated genome.

Conclusions:

PSAT is a meta server combining results from multiple sequence-based annotation and function prediction codes.
It offers a high-throughput platform for rapid de novo enzyme predictions and sequence annotations.
PSAT is particularly useful for annotating large protein FASTA sets, regardless of genome association.