Configure inputs to begin
Set options on the left, then click “Submit job”.

RNAdos calculates density-of-states summaries for RNA sequences, reporting representative structures and state counts across energy bands.

RNAeval calculates the free energy of an RNA secondary structure for a given sequence. Evaluates if a proposed structure is thermodynamically favorable.

RNAfold predicts RNA secondary structure using minimum free energy (MFE) algorithms and optionally returns partition-function ensemble metrics when explicitly enabled.

RNALfold reports locally stable RNA secondary structures within a sliding window and returns their start and end positions on the input sequence.

RNAplfold computes local base pair probabilities using a sliding window approach. Useful for analyzing accessibility and identifying binding sites in long RNA sequences.

RNAsubopt enumerates all RNA secondary structures within a specified energy range above the minimum free energy (MFE). Useful for exploring the structural ensemble and identifying alternative conformations.

ViennaRNA supports a curated set of scientifically faithful ViennaRNA 2.7.2 workflows for RNA folding, density-of-states analysis, interaction prediction, local accessibility, plotting, inverse folding, and structure analysis.

IgGM is a generative foundation model for antibody and nanobody design against a target antigen. Supports CDR design, affinity maturation, inverse design, and framework design. Requires an antigen structure (PDB) and antibody sequences with "X" marking positions to design.

RNAalifold computes consensus RNA secondary structure from a multiple sequence alignment. Uses covariation information to improve prediction accuracy for evolutionarily conserved structures.

RNAcofold predicts the joint secondary structure of two interacting RNA molecules and optionally reports partition-function and concentration-dependent equilibrium metrics.
RNAinverse performs inverse folding for a supplied target structure and starting sequence or alphabet constraint string. ProteinIQ wraps the native ViennaRNA CLI workflow instead of generating random starts inside the tool.
Repeat: native repeat count. Default 1.Final scoring mode: optional native final scoring selector.Alphabet: optional native alphabet constraint.Temperature, Dangling ends, and Parameter file content: ViennaRNA model controls where supported.The results table reports one row per designed sequence: