Peptide Database

Peptide NameKisspeptpin2

Function Ontology

Hormonal / Endocrine ▸ Hormone peptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Neuropeptide

Neurological / Signaling ▸ Neuropeptide activity ▸ Reproductive neuropeptide

Reproductive biology ▸ Reproductive modulation

Standard StatusStandard

Sequence Length10 amino acids

Chemical FormulaC63H83N15O13

DescriptionStandard

        FNFNPFGLRF
    

Molecular Weight1258.43 Da

Isoelectric Point (pI)9.75

Net Charge (pH 7.0)0.76

Net Charge (pH 7.4) 0.56

Charge Density (pH 7.0) 0.0760

GRAVY Index0.15

Hydrophobic Moment 0.35

Boman Index0.23

Instability Index29.61

Aliphatic Index 39.00

Aromaticity 0.4000

Extinction Coeff. Reduced 0.00

Extinction Coeff. Oxidized 0.00

The radar chart summarizes major physicochemical dimensions for quick comparison, while exact numerical values remain listed on the left.

Amino Acid Composition

TPSA 464.51

LogP -2.07

H-bond Donors 15.0

H-bond Acceptors 14.0

Rotatable Bonds 36.0

Heavy Atoms 91.0

Ring Count 5.0

Amide Bonds 11.0

3D PDB MODEL

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2D CHEMICAL STRUCTURE

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RECORD: Rec_0103594 VERIFIED: YES

Provenance & Taxonomy

OrganismLateolabrax japonicus [Animal]

FamilyKisspeptpin2

Tax ID8164

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Reproductive regulator

Half-LifeMammalian: 1.1 hour; Yeast: 3 min; E. coli: 2 min

RECORD: Rec_0108370 VERIFIED: YES

Provenance & Taxonomy

OrganismLateolabrax japonicus [Animal]

FamilyKISS1

Tax ID8164

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Hormone Reproductive neuropeptide

RECORD: Rec_0205683 VERIFIED: YES

Provenance & Taxonomy

Organismnot reported [other]

Structure & Mods

Configlinear peptide [Linear]

Chiralitycanonical L-amino-acid peptide [L]

Bio-Activity Profile

Function

Neuropeptide

Paper数据库级溯源文献：Wang Y, Wang M, Yin S, et al. NeuroPep: a comprehensive resource of neuropeptides. Database (Oxford). 2015:bav038. PMID 25931458; Bin Y, Zhang W, Tang W, et al. Prediction of Neuropeptides from Sequence Information Using Ensemble Classifier and Hybrid Features. J Proteome Res. 2020;19(9):3732-3740. PMID 32786686. PMID25931458;32786686 Evidence URLhttps://pubmed.ncbi.nlm.nih.gov/25931458/