Q94C32 AF NFT

Protein MRG1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3setmisge3c7kqvgpnbg43vi4pilnd46eg5ex6lrbk5ltkcmd5q/metadata.json
IPFS of structure file: 
bafybeiapymsbslhqqgt3teijvhunvt2xiro2xq4s7cszmfpk2n37hdghci/AF-Q94C32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x38047ce090cAC00B9195040abFba84F85133149B
First NFT owner address (bech32): 
genesis18qz8ecysetqqhyv4qs9tlw5ylpgnx9ymh3ewsv
Current NFT ID #244000 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244000
Accession (UniProt):
Q94C32
Name::
Protein MRG1
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 Q94C32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q94C32|MRG1_ARATH Protein MRG1 OS=Arabidopsis thaliana OX=3702 GN=MRG1 PE=1 SV=1 MGSSSKEETASDGDTASGGASPSNDGRLFSEGERVLAYHGPRVYGAKVQKVELRKKEWKYFVHYLGWNKNWDEWVSADRLLKHTEENLVKQKALDKKQGVEKGTKSGRSAQTKTRSSADTKADKDDTKTNAAKGKKRKHESGNEKDNVTAEKLMKIQIPASLKKQLTDDWEYIAQKDKVVKLPRSPNVDEILSKYLEFKTKKDGMVTDSVAEILKGIRSYFDKALPVMLLYKKERRQYQESIVDDTSPSTVYGAEHLLRLFVKLPDLFSYVNMEEETWSRMQQTLSDFLKFIQKNQSTFLLPSAYDSDKVSDGKGKGKDD