Q32PJ3 AF NFT

Origin recognition complex subunit 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxf5dpvrfnwxj5kjq7spfagbvus2wsomz2oh57ao6ndas5lwccdq/metadata.json
IPFS of structure file: 
bafybeic2xbluzhg4gcnlhptrvcdmigygaekmhxskdulnohy52rga42huxi/AF-Q32PJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92138789186f6f4Bce7a1e4346cf9ae15fdFBBBf
First NFT owner address (bech32): 
genesis1jgfc0zgcdah5hnn6rep5dnu6u90alwalup54yw
Current NFT ID #282529 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
282529
Accession (UniProt):
Q32PJ3
Name::
Origin recognition complex subunit 3
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 Q32PJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32PJ3|ORC3_BOVIN Origin recognition complex subunit 3 OS=Bos taurus OX=9913 GN=ORC3 PE=2 SV=1 MATSSVSKGCFVFKPNFKKRKISVPIEDYFNKGKNASEDSKLRFETYQLIWQQMKSETERLQEELNKNLFDSLVEFLQTSHSGLWKNSKDWSCEIKLREIPTAALVLGVNVTDHDLTLRSLTEVLQNNVTPYVVSLQAKDCPDMKHFLQKLVSQLMDCKVDVQSKEKESVQVIQKNVHYSMDSLSAWYMSVTQKTDPKMPRKKRTSSSQWQSPPVVLILKDMESFTTKVLQDFIIISSQHLHEFPLILIFGIATSPVVIHRLLPHAVSSLLCIELFQSLSCKEHLTTVLDKLLLTTQFPFKLSEKVLQILTNIFLYHDFSIQNFIKGLQLSLLEHFYSQPLSVLCCNLPEAKRRIRFLSANQCENIRRLPSFRRYVEKQSSEKQVALLTSDKFLKEETQSLLENLHVYHKNYFLVLRCLHQFTSSLPKYPLGRQIRELYCMCLEKSIWDSEEYASVLQLLRLLAKDELMAMLQNCFKLFQSSSGKELGNTAKRIEEFLAQFQSLDETKEEEDTSQSQSKGLQKTDLYHLQKSLLEMKELRSTSKRQTKFEVLREQVVSFVDSLVREYLLPPDTQPLHETLYFSSAHTLRQHLNAAPRIALHTALNNPYYYLKNEALRSEEGCIPNVAPDICIAYKLHLECSRLINLVDWSEAFATVVTAAEKMDANSVTSGERNEIIHARFIRAVSELELLGFIKPTKQKTDHVARLTWGGC