Researchers Launch msallsearchpy for Proteomics Analysis
New software enables protein identification at high flow rates previously inaccessible to standard search engines.
Updated on Oct. 22, 2026 in Biotech
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Researchers have introduced msallsearchpy, a search engine designed to improve the identification and quantification of proteomics data. The tool supports multiple acquisition methods including DIA, DDA, and MS1-only, processing data at high flow rates.
Why it matters
High flow rates provide a more efficient alternative to traditional nanoLC-based proteome analysis. This new software helps overcome performance limitations that previously prevented protein identification under high-speed test conditions.
The engine processes data acquired using Orbitrap FTMS at flow rates up to 400 ul/min. It successfully identified 2000 proteins in a 20 ng sample at a 50 uL/min flow rate during performance testing.
The details
The software is designed to handle high flow rates up to 400 ul/min, which significantly exceeds the capabilities of standard search engines. By utilizing specialized algorithms, it allows for more efficient analysis of proteomic samples that were previously difficult to characterize.
Timeline
The msallsearchpy software was released on October 22, 2026.
The Tech Race
This development represents a departure from reliance on the nanoLC-based proteome analysis protocol by enabling reliable identification at much higher flow speeds. It positions the technology to replace slower, legacy-constrained methods that have long limited laboratory throughput.
Researchers and labs can now process proteomics samples more quickly without sacrificing identification accuracy. This improvement reduces bottlenecks in high-throughput workflows, allowing for faster data turnaround times in clinical and research environments.
The takeaway
Adopting high-flow proteomics analysis can dramatically increase laboratory efficiency and throughput. Labs looking to optimize their existing Orbitrap FTMS hardware should explore integrating this software into their current analysis pipelines.
Further reading
Learn more about the latest developments in the field by visiting our Biotech section.
More information
Access the full findings in the scientific study paper published on the platform.
Source note: This article includes information reported by Biorxiv.
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