#32 · Tools & infrastructure
Web servers now predict RNA structure, protein binding, and DNA variant effects
The dominant thread is the packaging of structural and sequence-context features into freely accessible web servers for predicting molecular function. ShapeRNA integrates RNA secondary structure prediction, SHAPE/DMS-guided modeling, and ensemble inference with structure-aware regulatory analysis. RNAanalyzer3 provides RNA motif discovery and motif-in-context analysis, linking hits to Rfam and miRBase with batch processing. SPSignal combines sequence motifs with solvent accessibility, disorder, and structural context to predict NLS and NES signals. xBind uses ESM-2 embeddings and symmetry-aware graph neural networks to predict protein-protein and protein-DNA binding sites. FABIAN-variant 2026 addresses how DNA variants alter transcription factor binding. The set is heterogeneous; only the two RNA tools share an explicit RNA structural framework. What appears new is the integration of experimental probing data and language-model embeddings into servers, though the items do not report benchmark comparisons.
Published papers
ShapeRNA: an integrated web server for RNA secondary structure, ensemble, and functional analysis.
ShapeRNA is a free web server integrating RNA secondary structure prediction, SHAPE/DMS-guided modeling, ensemble inference, and structure-aware regulatory…
RNA motifs, RNA structure, and motif context analyzed by RNAanalyzer3.
RNAanalyzer3 is a free web server for RNA motif discovery, structure prediction, and motif-in-context analysis, linking hits to Rfam and miRBase with batch…
SPSignal: a web tool for structure-assisted prediction of nuclear localization and nuclear export signals in proteins.
SPSignal is a web server that combines sequence motifs with solvent accessibility, disorder, and structural context to predict NLS/NES signals, using…
xBind: an integrated webserver for large language model-enabled cross-molecular protein binding site prediction.
xBind is a freely accessible webserver using ESM-2 LLM embeddings and symmetry-aware graph neural networks to predict protein-protein, protein-DNA, and…
FABIAN-variant 2026: improved prediction of the effects of DNA variants on transcription factor binding.
Variants in promoters and enhancers can alter the binding of transcription factors (TFs), but their functional assessment remains difficult.
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