lncRNA Structure Prediction
Species Name : Withania somnifera Sequence Id : GBHJ01060221.1
I. Result for minimum free energy prediction
The optimal secondary structure in dot-bracket notation with a minimum free energy of (-256.20) is given below.
1. Sequence-
CCUGAAACCGUCGUCCAAAACAAUCUGUAACACGGUCUCCCUCUCUCUCCUUGUUCUUUA
UCUCUUAGACCAAUCAAAGAAAACCCUCAACUUCAUCCAUCUCACCCAAACCAGCCAUCA
AAGUUUGAUUUUUGUUCUUCAAACAACGAGAGAAGAUAGAGGAUUCCGUUAUCUCAUUGC
CUCCCUAUCAACUCCCCCAUUAUAGUGCGAUAUGAGUGUGGAUUUCUCUCCACAACGGUA
AUCUCUCUUUUCUCUGUUACAUCUAAUUUCAAAACCCUUUAGUCUUGGCCAUUUGAUUUU
AAUUCUUGUACUGAGAGGCAUUUGAUGAUUGUCAUUUAUGCAUCGUAUCCAAUAAAGAUC
CUUAGUUUCCCCCUAAAGGGGGUCCCCCCGAAAAAGCCCUCGUUUUCUCCUAUAGAAGUU
AAGUUACAGAGAGGGUUGAAGUCAUCAGUUUGAUUCUCAUAAAAUAGAGUAAACCAUUUA
GCAUUUUUAGUGAAAUAAGGAUUUCAAAAGGUAUUCUGCGGGCUGGUAAGUGUUGAUUCU
AAGUUUUAGCGAAACAUUACACACUAAGGUAGGUUAUUAUUCCACUUUUCUAUUAGAAAU
AUAGAAAACAUGUUCAAAAUUCAUUUUUUUCUAAGGAAAAUAGAAAAUUCGGUUUUUCAA
AAUUACAUUAAAUUUGAAAAACUUCUAAAACUACUUUUCCAAAAUUUUCCAUUAAAAUAU
GCUUCAAUUUUCCAUUAUUCUAAACUAGAAAAUUGUGUGCUUUUGAACGCGUUUUUUGAA
UUUUUCAUAAUUUUCUUGAAAUUAGAAAAUUAAAGAUGAAAAACUGAAAAUAAUUUUCUG
AACGCACCCUAAUGUUCUCAUUUCUUCCCUUGACCCAUUUUCCUUUUCUAAGUUGGAAUA
CGUUGUAAUCUCUUCACUCCUUUCUUUUGUUUUAGUAUUUCACGUCCUUCUAAGAAGUUU
UAUGAUUGUGAAUAGUCCAUCCACUUUUCCGGUUGGUACAAUGUUUGAUGCUUUUACUAU
GUCUACUUCCUAUUAUUUCAAAGUCUACCAAGUAACAAAAAAGUAUAAAUCUAUUUUGAA
GAGUGUUAUAUUGCUACUUGGGGGCAUUCAUGAAACUCAGUAUUAAGUUAUUCUGAGUCU
UAAUUGCUCCUAGAUUAUGUAUUAAUGGCUCUCUAGCUUCUUUUCAGAGUAAAAAAUUAU
CGACCUAUCAUUAUAGCUUAAGGUGGUCGAAGACAGAACUUAGUUAUCAAACUUUUUGUA
GUCUACCUUAUCCUAAAGCCGAUAUACCUAUUUCUUCAAUAAUCAGA
2. MFE structure-
.((((.(((((.((.((........))..)))))))..((((((((...((((..((((..(((((((((......(((((.........................................((((((..........))))))(((.((((((((.(((((...(((((..((((((((((..................
...)).))))..)))).(((((......))))))))))...))))).))))))))))).....(((..(((((..((.........))...)))))..))).))))))).)))))))((((..(((((...))))).))))(((............))).........(((((....))))).......((.(((((...
.))))).)).....)))).))))....)))))))).((((((((......))))).)))..((((((.(((.....(((((.........((((((....)))))).((((((..(((((((.....((((.(((((.(((((((((.((((((((..........(((.((((((((((((((........(((((((.
.((((((((.(((((((((..(((..(((((((.(((((((((.......(((((((((((.(((...))).))))))))))).......))).))))))((((((...(((......)))....))))))..............)))))))..)))...))))))))).))))))))..((((((((((((((((....
...)))))))))....)))))))..(((((...))))).(((((........)))))(((..........)))...........)))))))..)))))))....)))))))))).............)))))).))..((((((((((((...))))......)).))))))..(((((.((........)).))).)).
..(((((.((((((((((..((..((((............))))..))..)))).....))))))))))).((((((((((((.((((....((((.(((((((((....(((.((((((.((......)).)))))).)))..)))))))))............))))....))))..))))))))))))........(
(((((.(((.(((.....))))))))))))....)))))))))..))))))))))))))))..))))))...))))).......))))))))).........)))).
You can download the minimum free energy (MFE) structure in
II. Results for thermodynamic ensemble prediction
1. The free energy of the thermodynamic ensemble is [-282.60] kcal/mol.
2. The frequency of mfe structure in ensemble 2.51223e-19.
3. The ensemble diversity 320.86.
4. You may look at the dot plot containing the base pair probabilities [below]

III. Graphical output
1. A note on base-pairing probabilities:--
The structure below is colored by base-pairing probabilities. For unpaired regions the color denotes the probability of being unpaired. The reliability information of RNA secondary structure
plot in the form of color annotation, Positional entropy ranging from red (low entropy, well-defined) via green to blue and
violet (high entropy, ill-defined).
2. Here you find a mountain plot representation of the MFE structure, the thermodynamic ensemble of RNA structures, and the centroid structure. Additionally we present the positional entropy for each position. The resulting plot shows three curves, two mountain plots derived from the MFE structure (red) and the pairing probabilities (black) and a positional entropy curve (green). Well-defined regions are identified by low entropy.