F4IRM4 AF NFT

Protein PHOX1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic66to5a2b27plufpus62ainlfl6xuiuzjhvhgaxt2rcsqi44e3hu/metadata.json
IPFS of structure file: 
bafybeibok6ip3kloe642um3bok3zyesj3whshetypu5fbt2pt7ply4ut3u/AF-F4IRM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0A70d3367d1cE30ff1149924db0112B10f5dbed3
First NFT owner address (bech32): 
genesis1pfcdxdnarn3slug5nyjdkqgjky84m0knyjm3ax
Current NFT ID #298589 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
298589
Accession (UniProt):
F4IRM4
Name::
Protein PHOX1
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 F4IRM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F4IRM4|PHOX1_ARATH Protein PHOX1 OS=Arabidopsis thaliana OX=3702 GN=PHOX1 PE=1 SV=1 MGKPTGKKKNNNYTEMPPTESSTTGGGKTGKSFDRSATKSFDDDMTIFINRALELKEEGNKLFQKRDYEGAMFRYDKAVKLLPRDHGDVAYLRTSMASCYMQMGLGEYPNAINECNLALEASPRFSKALLKRARCYEALNKLDFAFRDSRVVLNMEPENVSANEIFERVKKVLVGKGIDVDEMEKNLVNVQPVGAARLRKIVKERLRKKKKKSMTMTNGGNDGERKSVEAVVEDAKVDNGEEVDSGRKGKAIEEKKLEDKVAVMDKEVIASEIKEDATVTRTVKLVHGDDIRWAQLPLDSSVVLVRDVIKDRFPALKGFLIKYRDSEGDLVTITTTDELRLAASTREKLGSFRLYIAEVSPNQEPTYDVIDNDESTDKFAKGSSSVADNGSVGDFVESEKASTSLEHWIFQFAQLFKNHVGFDSDSYLELHNLGMKLYTEAMEDIVTGEDAQELFDIAADKFQEMAALAMFNWGNVHMSKARRQIYFPEDGSRETILEKVEAGFEWAKNEYNKAAEKYEGAVKIKSDFYEALLALGQQQFEQAKLCWYHALSGEVDIESDASQDVLKLYNKAEESMEKGMQIWEEMEERRLNGISNFDKHKELLQKLGLDGIFSEASDEESAEQTANMSSQINLLWGSLLYERSIVEYKLGLPTWDECLEVAVEKFELAGASATDIAVMVKNHCSSDNALEGMGFKIDEIVQAWNEMYDAKRWQIGVPSFRLEPLFRRRSPKLHDILENVFSGPQ