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Published on: May 22, 2018
ACPS: An accurate bioinformatics tool for precision-based anti-cancer peptide generation via omics data
Aman Chandra Kaushik1, Mengyang Li2, Aamir Mehmood3,4
1Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Abstract:
The anti-cancer targets play a crucial role in the signaling processes of cells, and therefore, it becomes nearly impossible to engage these targets without affecting the native cellular function. Thus, an approach has been taken to develop an anti-cancer Scanner (ACPS) tool aimed toward the recognition of anti-cancer marks in the form of peptides. The proposed ACPS tool allows fast fingerprinting of the anti-cancer targets having extreme significance in the current bioinformatics research. There already exist some tools that offer these features on a single platform; however, the performance of ACPS was compared with the preexisting online tools and was observed that ACPS offers greater than 95% accuracy that is comparatively much higher. The anti-cancer marked sequences of proteins supplied by the operators are scanned against the anti-cancer target datasets via ACPS and provide precision-based anti-cancer peptides. The proposed tool has been contrived in PERL programming language, and this tool is the extended version of A-CaMP codes, which are highly scalable having an extensible application in cancer biology with robust coding architecture. The availability of tools like ACPS will greatly benefit researchers in the field of oncology and structure-based drug design.
Insights
A new tool, the anti-cancer Scanner (ACPS), accurately identifies anti-cancer peptides. This bioinformatics tool offers over 95% accuracy for cancer research and drug design.
Area of Science:
- Bioinformatics
- Computational Biology
- Cancer Research
Background:
- Anti-cancer targets are vital for cellular signaling but difficult to target without side effects.
- Developing precise tools for identifying anti-cancer peptides is crucial for oncology and drug discovery.
Purpose of the Study:
- To introduce the anti-cancer Scanner (ACPS), a novel bioinformatics tool for recognizing anti-cancer peptides.
- To evaluate the performance of ACPS against existing tools and highlight its high accuracy.
Main Methods:
- The ACPS tool was developed using the PERL programming language, extending the A-CaMP codebase.
- ACPS scans protein sequences against anti-cancer target datasets to identify precision-based anti-cancer peptides.
- Performance comparison with existing online tools was conducted to validate ACPS accuracy.
Main Results:
- ACPS demonstrates a high accuracy rate exceeding 95%, surpassing existing tools.
- The tool enables rapid fingerprinting of significant anti-cancer targets.
- ACPS provides precision-based anti-cancer peptides from operator-supplied protein sequences.
Conclusions:
- ACPS is a highly accurate and scalable tool for identifying anti-cancer peptides, significantly advancing bioinformatics in cancer research.
- The tool's robust architecture and high performance offer substantial benefits for oncologists and researchers in structure-based drug design.
- ACPS represents a valuable addition to the available resources for cancer biology and therapeutic development.
