Q2KDE4 AF NFT

UPF0102 protein RHE_CH00320

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicv4p36ubimbk27sknj4parx3eqo634znkxtgogcgdqljtgwhetcu/metadata.json
IPFS of structure file: 
bafybeienhh56wdrolqnvucf3isp4jno5kjptwkr2vapxlcmwfjz6q4m6mq/AF-Q2KDE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80E4770D64c852Ea54fa095e4246B7F0d7647117
First NFT owner address (bech32): 
genesis1srj8wrtyepfw5486p90yy34h7rtkgugh0c84m5
Current NFT ID #514840 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514840
Accession (UniProt):
Q2KDE4
Name::
UPF0102 protein RHE_CH00320
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2KDE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2KDE4|Y320_RHIEC UPF0102 protein RHE_CH00320 OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=RHE_CH00320 PE=3 SV=2 MGNKDLTVIKRKALRRGRMSEYVAAAFLMLKGYRILALRHRTRLGEIDIVARKGDLTIFVEVKARHGEAAAIDAVSVAAQKRIRAASDLWLARQADQARLSQRYDIIAVMPGRLPRHFPDAF