B0S3U9 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjwrjnk6dogfvbhkjpowqi4xp6igkguquydsr6rc322kr3aflbaq/metadata.json
IPFS of structure file: 
bafybeifmic4hibgg7yicr2jhzn7e6dsdadj6apbmcmj2m5yd63pqjvnfpi/AF-B0S3U9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #63544 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63544
Accession (UniProt):
B0S3U9
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Finegoldia magna (strain ATCC 29328 / DSM 20472 / WAL 2508)

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 B0S3U9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0S3U9|CINA_FINM2 Putative competence-damage inducible protein OS=Finegoldia magna (strain ATCC 29328 / DSM 20472 / WAL 2508) OX=334413 GN=cinA PE=3 SV=1 MKVQIIAVGTELLLGDTLDTNSNYLSIKMRELGFDVYKRVVVGDNYDRLYKEIEEGLQQNDLIITTGGLGPTEDDITKKCCCDCLGKKMVLNEKSYAKLRKYFNEDEKAIQGNIKQCMFPEDAIVFENFNGTADCALIENNGKRILFLPGPPAEMKPIYENQVQQVLEQFATDCIISETLNISILGEWDMNERVKDIIESSNNPTVAPYFKKDKRILRITAKASDRQTALDMIAKKKQELRDRLGMYVFGENDETIEESVYKVLKEHDLSIMTSESITGGMIASKLVNVSGVSDYLKRSLVVYSNEAKIELLGVKAETIDTYGVVSENVAFEMVERMFEKFNVDCSISTTGFASGENAGLVYVGLGYKNTIKTLKLQLHGERNKIRNRVSNRALAELRLMILENVSRETF