Q94B71 AF NFT

Protein OBERON 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3ykoxsoygbbvnublqoah45ljo4hfe3wp3hyi3olbqyup5y5afyy/metadata.json
IPFS of structure file: 
bafybeifjptaca4tnu2azvrhyx7whnjszu35wam5md2xsoi72whgtn5lc4i/AF-Q94B71-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5094539FB3326c41CCb25b4b551912F9816d2CFb
First NFT owner address (bech32): 
genesis12z2988anxfkyrn9jtd942xgjlxqk6t8mz2pm67
Current NFT ID #279126 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
279126
Accession (UniProt):
Q94B71
Name::
Protein OBERON 3
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q94B71 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q94B71|OBE3_ARATH Protein OBERON 3 OS=Arabidopsis thaliana OX=3702 GN=OBE3 PE=1 SV=1 MIGEKDLAGDGECSRTKTSKPRFSNLNNQTHQDDKTGQYHQKGVDFLNVRSNNLDGGFSSKSSPRSGNELTLSYLCENSGKLAESLGQKGKEVVTFSENSSYDDKWVERDFFNLREMNPNSSKRKAHEEEEEAEEEEDKKSNKIETLNLSLALPDVSLSLTASNAVKRPRVVTSERTTTSFSNDFTATAPSMSYSYSHPFSHNISCSMTRNSTDFDCSVGKDDHIWCAGEGTNGSVHSRFRPIGDGGVALANNPVSGKPSSSADYSFFPSELPARPGNEVTISGDSRKKVANLEDNDAVRSERVLYDIVSKSISSVALIIQGMADETLESAKEYLRNLIDSPEKKEKLVNLQNQIDKRSDLSKETLSKCVKDQLDILVAVRTGLKYFLSGKIRIPMNELVEIFLFLRCRNVNCKSLLPVDDCECKICSNNKGFCSSCMCPVCLRFDSASNTCSWVGCDVCSHWCHAACGIQKNLIKPGHSLKGQRGTTEMMFHCIGCAHKSEMFGFVKDVFVCCAKNWGLETLIKELDCVRKVFRGSDDAKGKALHLKANEMVKKLESKQISPLDASNFIIQFFNYAESIPEIPDPPRELTVAAETSYRKDEASVTPSTSKDQKKKSFALTDAMMNSFDSLESMVRIKEAETRMFQKKADEARIEAESFKRMIEMKTEKMEEEYTEKLARLCLQETEERRRNKLEELKKLENSHCDYRNMKLRMEAEIAGLLKRMEVTRQQLV