P0CY38 AF NFT

Uncharacterized protein AN12072

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickoswbcbws37ibzygut3xxmggz5lfcu4wa4kpcoeo6qkjeycqpvy/metadata.json
IPFS of structure file: 
bafybeieqzw5lsno6r5z7ybzlgqstefn2ehirnwfr2gt4nvko3yhlv7a2k4/AF-P0CY38-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #510746 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510746
Accession (UniProt):
P0CY38
Name::
Uncharacterized protein AN12072
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 P0CY38 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CY38|Y2072_EMENI Uncharacterized protein AN12072 OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=AN12072 PE=4 SV=1 MSSRSGSADTFTQRSDSNLRPRRLISLDDVRDNNGRQPSSSGISTTGSSELPTLRSRGATPSPRPSRNVSPIPMGHPSRATQPRSDARPGNSLGGFTPNGKYQDPFTESSRAAVDFLDASWSSLQGIASSLLGSDTARPTSNGGPRSHARKPSRPDYLAKHRAVSTSTWGPSGPTTPEIGAGTQDERQAMVHAKKMEALLLADTDPSWNLNSRHKRRDSNDRTVQSRADTDQDEEALVYVHQVQPTDTITGVTIRYGCQAAIFRKVNGFWPSDSIQARKTVLLPVDCCSIKGRPVKAREETDLLQDVPSRPSIEDPSGSSIVPAPSPEKSTFSRISEQPGTEPEAESDQIWKHESWVQIDGFAEPVEIGRVPRRALGFFPRTRRKSVSYSDSEPVRGRLQTPTISTASSPIQPSSSPNADQHDSYHAGSPASRGPGSKPKGRHRRRPSGLELSGTGVGTLDRNVNLPGPAMDGLSKFFAQHLPTLAPKQAPPNFDSLSGNSSTVASINSTSLDSIGGAVEGWVRKITARAKSSINDLQQGTSSSQNQAMPPETRRRGFSDLIELEDGVESRNSSGLLAGTGWKPDLTRSGSGYVNGANLRERFPSASPSTSRTRTGLDRTKGD