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Advanced Search Query Builder

Peptide name:

Sequence Length:

Sequence:

Molecular weight (g/mol):

Presence of non-natural amino acid:

L/D/Mix:

L (left-handed), D (right-handed), Mix (amino acids contain both L- and D-amino acids)

Linear/Cyclic:

Amino Acids Composition:

Searching amino acids composition, users can confined the searching via parameters including Min/Max of percentage each amino acid and Min/Max of number each amino acid.

Type:

Hydrophobic amino acid %:

Hydrophobic amino acid % = (Nh/N)*100 (Nh : Number of hydrophobic amino acid residues present in the input sequence
N : Input sequence length)

Acidic amino acid %:

Acidic amino acid % = (Na/N)*100
Na : Number of acidic amino acid residues present in the input sequence
N : Input sequence length

Neutral amino acid %:

Neutral amino acid % = (Nn/N)*100
Nn : Number of neutral amino acid residues present in the input sequence
N : Input sequence length

Basic amino acid %:

"Basic amino acid % = (Nb/N)*100
Nb : Number of basic amino acid residues present in the input sequence
N : Input sequence length"

GRAVY:

The GRAVY value for a peptide is calculated as the sum of hydropathy values of all the amino acids, divided by the number of residues in the sequence. positive GRAVY (hydrophobic), negative GRAVY (hydrophilic).

Charge:

Charge= Na + Nb (Na: Number of acidic amino acid residues, Nb: Number of basic amino acid residues) Each acidic amino acid residues are assigned a value of -1, basic amino acid residues are assigned a value of 1 and neutral amino acid residues are assigned a value of 0.

Net Charge at pH 7 :

Hydrophobicity at pH 2.0 :

Hydrophobicity at pH 2.0 (Hydrophobicity value at pH 2= Hydrophobicity value of individual amino acid at pH 2 / Total number of amino acid in the peptide)

Hydrophobicity at pH 6.8 :

Hydrophobicity at pH 6.8 (Hydrophobicity value at pH 6.8= Hydrophobicity value of individual amino acid at pH 6.8 / Total number of amino acid in the peptide)

Secondary Structure Prediction:

Secondary structure prediction is reported in AIA Can Pep database using Chou-Fasman, GOR, Neural Network algorithms and joint of them. Users can confined the searching via parameters including Min/Max percentage of Coil, Helix, Extended and Turn.

Coil Content %

Helix Content %

Extended Content %

Turn Content %

Source:

Cell Line:

Binding target:

Publish year: