A Systematic Bioinformatics Approach for Mapping the Minimal Set of a Viral Peptidome

Abstract

AbstractSequence changes in viral genomes generate protein sequence diversity that enables viruses to evade the host immune system, hindering the development of effective preventive and therapeutic interventions. The massive proliferation of sequence data provides unprecedented opportunities to study viral adaptation and evolution. An alignment‐free approach removes various restrictions posed by an alignment‐dependent approach for studying sequence diversity. The publicly available tool, UNIQmin, offers an alignment‐free approach for studying viral sequence diversity at any given rank of taxonomy lineage and is big data ready. The tool performs an exhaustive search to determine the minimal set of sequences required to capture the peptidome diversity within a given dataset. This compression is possible through the removal of identical sequences and unique sequences that do not contribute effectively to the peptidome diversity pool. Herein, we describe a detailed four‐part protocol utilizing UNIQmin to generate the minimal set for the purpose of viral diversity analyses, alignment‐free at any rank of the taxonomy lineage, using the recent global public health threat Monkeypox virus (MPX) sequence data as a case study. The protocol enables a systematic bioinformatics approach to study sequence diversity across taxonomic lineages, which is crucial for our future preparedness against viral epidemics. This is particularly important when data are abundant, freely available, and alignment is not an option. © 2024 Wiley Periodicals LLC.Basic Protocol 1: Tool installation and input file preparationBasic Protocol 2: Generation of a minimal set of sequences for a given datasetBasic Protocol 3: Comparative minimal set analysis across taxonomic lineage ranksBasic Protocol 4: Factors affecting the minimal set of sequences