Cytopred

Cytopred predicts and classifies cytokines to identify secreted immune signaling proteins and support studies of immune responses, inflammation, hematopoiesis, and therapeutic targeting in adjuvant therapies and cancer.

Key Features:

• Cytokine prediction: Predicts whether a protein sequence is a cytokine.
• Classification: Assigns cytokines to four primary families and seven subfamilies.
• Prediction accuracy: Reports 98.29% accuracy for cytokine prediction on the reported benchmark.
• Classification accuracy: Reports 99.77% accuracy for primary-family classification and 97.24% accuracy for subfamily classification.
• Hybrid algorithm: Combines PSI-BLAST (Position-Specific Iterated BLAST) with Support Vector Machine (SVM) algorithms.
• Benchmarking: Benchmarked against CTKPred with reported superior performance.

Scientific Applications:

• Immunology research: Enables identification and categorization of cytokines involved in immune responses and inflammation.
• Hematopoiesis studies: Supports analysis of cytokines that regulate blood cell development.
• Therapeutic target discovery: Aids investigation of cytokines as targets in adjuvant therapies and cancer treatment.

Methodology:

Employs a hybrid approach combining PSI-BLAST (Position-Specific Iterated BLAST) with Support Vector Machine (SVM) algorithms.