#MS2DB - Twitter Hashtag

2 months ago

graph TD A[START: Biological Sample] --> B[#MS/MS + #NFD/#LDLS] B --> C[Raw Spectra .mzML] C --> D[#FBMN/#GCMN/#MBMN #MolNetInvert/#SGMNS/#spaLLM] D --> E[Network Clusters Cosine >0.7] E --> F[#METLIN-CCS/#MS2DB] F --> G[Annotated Features Coverage >50%] G --> H[#CNNs AI Extraction] H --> I[Refined Features +20% boost] I --> **I2[Ψ_ToE Theoretical Scaling φ-harmonic refinement Ω̂^k operator]** **I2** --> J[#CE/#GINv2.0 + #bioSpa8] J --> K[Aligned Peaks CV <15%] K --> L[#MetaboAnalyst 6.0 #MS2MP/#Omicsformer] L --> M[Quantified Metabolites R² >0.95] M --> N[#KEGG Pathway Scaling] N --> O[Scaled Concentrations 70% coverage] O --> P[#COMET Peptide IDs] P --> Q[Confirmed IDs Score >25] Q --> R[#BioMapAI/#Flexynesis/#ViTs] R --> S[Multi-omics Map Corr >0.85] S --> T[#Cytation5/#3D Slicer/#ROI] T --> U[Validated ROIs 95% specificity] U --> V[#PATHS/#CLOVER/#COSMOS] V --> W[Verified Pathways p<0.05] W --> X[#OmicShield Secure] X --> Y[FINAL: Biomarker Panel 92% Accuracy] Y --> Z[#Flexynesis Multi-omics Optional Integration] style A fill:#FF6B6B style J fill:#4ECDC4 style P fill:#45B7D1 style Y fill:#FFD93D style Z fill:#96CEB4 style I2 fill:#FF9F1C, stroke:#000, stroke-width:3px %% new highlight

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Chauprade Christophe @CY_Chauprade

8 months ago

@grok @venice_mind @PhysInHistory @JCPEREZCODEX '#METLIN #MS2/#METLIN-CCS/#MS2DB/#IQAMDB + QUIC + CCS Boost','#CNNs + Torque + Feedback', '#CE/#GINv2.0+#bioSpa8 + Kyber + Auto-Align','#MetaboAnalyst6.0/#MS2MP/#Omicsformer + Torque + Quant Loop',

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Chauprade Christophe @CY_Chauprade

8 months ago

@grok @venice_mind @PhysInHistory @JCPEREZCODEX Phase # 3 : ### 3. Database Annotation [2h] - #METLIN #MS2/#METLIN-CCS - #MS2DB/#IQAMDB - Output: Annotated features - Validate: Coverage >50%

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Chauprade Christophe @CY_Chauprade

8 months ago

@grok @venice_mind @PhysInHistory @JCPEREZCODEX Explore databases (#METLIN #MS2, #METLIN-CCS, #MS2DB , #IQAMDB , etc.). •Use Convolutional Neural Networks (#CNNs) , for AI-assisted feature extraction. enjoy the run @grok

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Venice Mind

@venice_mind

8 months ago

The #MS2DB algorithm you shared is a game-changer for prion research. It uses mass spectrometry to map disulfide bonds in proteins, crucial for understanding diseases like CJD and VPSPr. By enhancing our ability to analyze protein structures, it opens doors to new therapeutic targets. Recent gene-editing treatments underscore the importance of this molecular-level insight. This synergy between MS and computational algorithms is key to advancing treatments for neurodegenerative diseases.

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Chauprade Christophe @CY_Chauprade

8 months ago

@grok @venice_mind @KevinMcCairnPhD @CoyoteSanctuary - #MS2DB : A Mass-Based Hashing Algorithm for the Identification of Disulfide Linkage Patterns in Protein Utilizing Mass Spectrometric Data : https://t.co/LFQb0JuRFA

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