C5D9G1 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielgujkrzyw3ljp674mbklehtd6pm6rxqxvsc7j6ym5n3aklbgn3e/metadata.json
IPFS of structure file: 
bafybeig5ro4kbdxyx23es4zwjosed5x4nq5zj4in5rtp5qgknklzig2t6e/AF-C5D9G1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa42b77e44c8e40c55Bc7cD30451A215C5d1d49d2
First NFT owner address (bech32): 
genesis15s4h0ezv3eqv2k78e5cy2x3pt3w36jwj7l06gh
Current NFT ID #63546 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63546
Accession (UniProt):
C5D9G1
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Geobacillus sp. (strain WCH70)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT C5D9G1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5D9G1|CINA_GEOSW Putative competence-damage inducible protein OS=Geobacillus sp. (strain WCH70) OX=471223 GN=cinA PE=3 SV=1 MNAEIIAVGSELLLGQIANTNAQFLSEKLAELGINVYFHTVVGDNAGRLEQAVRVAQARAELIIFTGGLGPTKDDLTKETIARLLGRELVIDEEALRSIEAYFARTNRTMTENNKKQALVLQGSTILKNEHGMAPGMAITLNSITYMLLPGPPKEMQPMFLKYGRPFLMEQLGRHERIESRVLRFFGIGESQLETDIEDLIDQQSNPTIAPLAGDGEVALRLTAKHHSEIEAKKLLDKAEQAILERVGRYFYGYNDETLFKKTVKMLKEKKKTIAAAESLTGGLFLTELTAIPGASQVVRGGVVCYANEVKEKVLHVPASVLTTDGAVSERCAQLLAENVRTLCHADIGISFTGVAGPDPLEGKPVGTVYIGISTPENETEVYALALPGQRDAIRIRTAKYGCSIILKKLAAAYEG