Q66GN3 AF NFT

Protein NPGR2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigb6zqnadnrnwhvtk62di4mevwvpxhnrytkydr5zhetfcf6wu3n2y/metadata.json
IPFS of structure file: 
bafybeif4lvovoci7tfsbx45pqfd4djyfc5lilzannu3vzxoulvxiiswgbm/AF-Q66GN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2860EAad4912B1169fF25F4532Ce490B282C1755
First NFT owner address (bech32): 
genesis19psw4t2fz2c3d8ljtazn9njfpv5zc9643zecgc
Current NFT ID #268104 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
268104
Accession (UniProt):
Q66GN3
Name::
Protein NPGR2
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 Q66GN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66GN3|NPGR2_ARATH Protein NPGR2 OS=Arabidopsis thaliana OX=3702 GN=NPGR2 PE=1 SV=1 MKNSEIRPEKLHLRKLRKSLRKIRMKCLCSGEQMRHREEEDKKSEVGVGRDYNGSSALSTAESENAKKLDNGNIEEAELSLRETSSLNYEEARALLGRIEYQKGNIEAALRVFEGIDINGITVKMKTALTVREDRKHRRRSKGGFSTAPSPAMSKHAVSLLFEAIFLKAKSLQRLGRFQEAAESCRVILDIVETSLAEGASDNVTGDIKLQETLTKAVELLPELWKLADSPRDAILSYRRALLNHWKLDPETTARIQKEYAVFLLYSGEEAVPPNLRSQTEGSFIPRNNVEEAILLLMLLLRKVNLKRISWDAAILDHLSFALTIAGDLTALAKQFEELSPELLDQRELYHTLSLCYQGAGEGLVALGLLRKLFSEREDPNRTSGLLMASKICGERSGLAEEGLDYARKAIGNLGKECSQLDGAARFVLGITLTESSRMAVTETERIARQSEGIQALESADMTNPRVVHRLALENAEQRKLDSALAYAKEALKLGAESDLEVWLLLARVLSAQKRFSDAETIVDAALNETGKWEQGKLLRLKAKLRLAKGEVKDAIKTYTQLLALLQVQSKSFNSAKKLPKGYVKELMSLELGTWHDLAHIYINLSQWRDAESCLSRSRLIAPYSSVRYHIEGVLYNRRGQLEEAMEAFTTALDIDPMHVPSLTSKAEILLEVGNRSGIAVVRSFLMEALRIDRLNHSAWYNLGKMFKAEGSVSSMQEAVECFQAAVTLEETMPVEPFR