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Paper

Protein disorder prediction by condensed PSSM considering propensity for order or disorder

by Independent / Community 000f70100783b16315ff748f23387076fc91d876

Free2AITools Nexus Index

70.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 86

P: Popularity 63

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

BackgroundMore and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that disordered regions of a protein can be predicted by its primary structure, the amino acid sequence. One observation that has been widely accepted is that ordered regions usually have compositional bias toward hydrophobic amino acids, and disordered regions are toward charged amino acids. Recent studies further show that e...

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Paper Information Summary
Entity Passport
Registry ID	000f70100783b16315ff748f23387076fc91d876
License	ArXiv
Provider	semantic_scholar

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Academic & Research Attribution

BibTeX

@misc{000f70100783b16315ff748f23387076fc91d876,
  author = {Unknown},
  title = {Protein disorder prediction by condensed PSSM considering propensity for order or disorder Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000f70100783b16315ff748f23387076fc91d876}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Protein disorder prediction by condensed PSSM considering propensity for order or disorder [Paper]. Free2AITools. https://api.semanticscholar.org/000f70100783b16315ff748f23387076fc91d876

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 86

Popularity (P) 63

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Protein disorder prediction by condensed PSSM considering propensity for order or disorder: Authority (A:86), Popularity (P:63), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"BackgroundMore and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that disordered regions of a protein can be predicted by its primary structure, the amino acid sequence. One observation that has been widely accepted is that ordered regions usually have compositional bias toward hydrophobic amino acids, and disordered regions are toward charged amino acids. Recent studies further show that e..."

❝ Cite Node

@article{Unknown2026Protein,
  title={Protein disorder prediction by condensed PSSM considering propensity for order or disorder},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈100CitationsSemantic Scholar

🏛️86AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

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📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 100

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