dbACP: A Comprehensive Database of Anti-Cancer Peptides

dbacp03387

General Description

Peptide name : Interferon gamma (IFN-gamma)

Source/Organism : Giant panda

Linear/Cyclic : Not found

Chirality : Not found

Sequence Information

Sequence : MNYTSYILAFQLCVILCSSGYYCQAMFFKEIENLKEYFNASNPDVADGGPLFLDILKNWREESDKTIIQSQIVSFYLKLFENFKDNQIIQRSMDTIKEDMLFKFFNSSTSKRSDFLKLIQIPVNDMQVQRKAINELIKVMNDLSPRSNLRKRKRSQNLFRGRRASK

Peptide length: 166

C-terminal modification: Not found

N-terminal modification : Free

Non-natural peptide information: None

Activity Information

Assay type : Whole-blood IFN-gamma assay,Real-time reverse transcription–polymerase chain reaction (RT-PCR) assay

Assay time : 48h

Activity : No activity

Cell line : HEK293

Cancer type : Renal cancer

Other activity : Not found

Physicochemical Properties

Amino acid composition bar chart :

Molecular mass : 19612.4673 Dalton

Aliphatic index : 0.845

Instability index : 40.344

Hydrophobicity (GRAVY) : -0.413

Isoelectric point : 9.4644

Charge (pH 7) : 7.4833

Aromaticity : 0.120

Molar extinction coefficient (cysteine, cystine): (14440, 14565)

Hydrophobic/hydrophilic ratio : 0.78494623

hydrophobic moment : -0.148

Missing amino acid : H

Most occurring amino acid : S

Most occurring amino acid frequency : 16

Least occurring amino acid : W

Least occurring amino acid frequency : 1

Structural Information

3D structure :

Secondary structure fraction (Helix, Turn, Sheet): (0.3, 0.2, 0.3)

SMILES Notation: CC[C@H](C)[C@H](NC(=O)[C@H](C)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCSC)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CC(N)=O)NC(=O)[C@@H](NC(=O)[C@@H]1CCCN1C(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CO)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CO)NC(=O)[C@@H](NC(=O)[C@H](CO)NC(=O)[C@H](CO)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CCCCN)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCSC)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CCSC)NC(=O)[C@H](CO)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CO)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CO)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CCCCN)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CO)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](Cc1c[nH]c2ccccc12)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H]1CCCN1C(=O)CNC(=O)CNC(=O)[C@H](CC(=O)O)NC(=O)[C@H](C)NC(=O)[C@@H](NC(=O)[C@H](CC(=O)O)NC(=O)[C@@H]1CCCN1C(=O)[C@H](CC(N)=O)NC(=O)[C@H](CO)NC(=O)[C@H](C)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@@H](NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCCN)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CCSC)NC(=O)[C@H](C)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CS)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)CNC(=O)[C@H](CO)NC(=O)[C@H](CO)NC(=O)[C@H](CS)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CS)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](C)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CO)NC(=O)[C@@H](NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CC(N)=O)NC(=O)[C@@H](N)CCSC)[C@@H](C)O)[C@@H](C)CC)C(C)C)[C@@H](C)CC)[C@@H](C)CC)C(C)C)[C@@H](C)CC)[C@@H](C)O)[C@@H](C)CC)[C@@H](C)CC)[C@@H](C)CC)C(C)C)[C@@H](C)CC)[C@@H](C)CC)[C@@H](C)O)[C@@H](C)CC)[C@@H](C)O)[C@@H](C)CC)[C@@H](C)CC)C(C)C)C(C)C)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CCC(=O)O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@H](C(=O)N[C@@H](CCCCN)C(=O)N[C@H](C(=O)N[C@@H](CCSC)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CO)C(=O)N1CCC[C@H]1C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CO)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](CCCNC(=N)N)C(=O)NCC(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](CCCNC(=N)N)C(=O)N[C@@H](C)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCCN)C(=O)O)C(C)C)[C@@H](C)CC

Secondary Structure :

Method Prediction
GOR CCCCCEEHHEEEEEEETTTTCCHHHHHHHHHHHHHHHHTTTCCCCCTTCCEEEHHHHHHHHHHHHHHEEEEEHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHTTTTTTTHHHHEEEECCCCHHHHHHHHHHHHHHEECCCCTTTHHHHHHTTTTHHHHHHTTT
Chou-Fasman (CF) EEEEEEHHHHEEEEEECEEEEHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHCEEEEEEEEEEEEHHHHHHHHHCEEEECCCEEHHHHHHHHHCCCCCCCCCHHHHHEEEECCCCEEHHHHHHHHEECCCCCCCCCCHHHHCCCCCCCCCCCCCCC
Neural Network (NN) CCCCCCHHHHHHEEEECCCCCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCEEEEEEHHHHHHHHCCCCCCCEEECCCCCHHHHHHHHHCCCCCCCCCCHHHHCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCHHHCCCCCHHHHCCCCCC
Joint/Consensus CCCCCCHHHHEEEEEECCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHCCCCEEEEEEHHHHHHHHHHHHCCCEECCCCCHHHHHHHHHHCCCCCCCCHHHHHEEECCCCCHHHHHHHHHHHHHCCCCCCCCCHHHHCCCCCCCCCCCCCCC

Molecular Descriptors and ADMET Properties

Molecular Descriptors: Not available.

ADMET Properties: Not available.

Cross Referencing databases

Pubmed Id : 19778282 20010809

Uniprot : Not available

PDB : Not available

CancerPPD : Not available

ApIAPDB : Not available

CancerPPD2 ID : Not available

Reference

1 : Tao Y, et al. Interferon-gamma of the giant panda (Ailuropoda melanoleuca): complementary DNA cloning, expression, and phylogenetic analysis. DNA Cell Biol. 2010; 29:41-5. doi: 10.1089/dna.2009.0909

2 : Li R, et al. The sequence and de novo assembly of the giant panda genome. Nature. 2010; 463:311-7. doi: 10.1038/nature08696

Literature

Paper title : Interferon-gamma of the giant panda (Ailuropoda melanoleuca): complementary DNA cloning, expression, and phylogenetic analysis.

Doi : https://doi.org/10.1089/dna.2009.0909

Abstract : Interferon-gamma (IFN-gamma) is the only member of type II IFN and is vital in the regulation of immune and inflammatory responses. Herein we report the cloning, expression, and sequence analysis of IFN-gamma from the giant panda (Ailuropoda melanoleuca). The open reading frame of this gene is 501 base pair in length and encodes a polypeptide consisting of 166 amino acids. All conserved N-linked glycosylation sites and cysteine residues among carnivores were found in the predicted amino acid sequence of the giant panda. Recombinant giant panda IFN-gamma with a V5 epitope and polyhistidine tag was expressed in HEK293 host cells and confirmed by Western blotting. Phylogenetic analysis of mammalian IFN-gamma-coding sequences indicated that the giant panda IFN-gamma was closest to that of carnivores, then to ungulates and dolphin, and shared a distant relationship with mouse and human. These results represent a first step into the study of IFN-gamma in giant panda.

Paper title : The sequence and de novo assembly of the giant panda genome.

Doi : https://doi.org/10.1038/nature08696

Abstract : Using next-generation sequencing technology alone, we have successfully generated and assembled a draft sequence of the giant panda genome. The assembled contigs (2.25 gigabases (Gb)) cover approximately 94% of the whole genome, and the remaining gaps (0.05 Gb) seem to contain carnivore-specific repeats and tandem repeats. Comparisons with the dog and human showed that the panda genome has a lower divergence rate. The assessment of panda genes potentially underlying some of its unique traits indicated that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition. We also identified more than 2.7 million heterozygous single nucleotide polymorphisms in the diploid genome. Our data and analyses provide a foundation for promoting mammalian genetic research, and demonstrate the feasibility for using next-generation sequencing technologies for accurate, cost-effective and rapid de novo assembly of large eukaryotic genomes.