Q0BPE2 AF NFT

Darcynin homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpevxasjfrhfgx6z6hgw7wrmpui7wqdiyo2cod56a3i4cpawlufa/metadata.json
IPFS of structure file: 
bafybeihnv6lxh23lkmznggnbg7rymmjpcq2i3rmxugqku7rcgykakksfhy/AF-Q0BPE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #90136 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
90136
Accession (UniProt):
Q0BPE2
Name::
Darcynin homolog
Experimental Method:
Predicted structure
Sequence source:
Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1)

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 Q0BPE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BPE2|DARCH_GRABC Darcynin homolog OS=Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1) OX=391165 GN=GbCGDNIH1_2412 PE=3 SV=1 MQRTYTVTIPSFEPALTVFMLVKTSPEWLGFPVERRFALLEEQFTPILRKHAAHVTLRFFDVEFYATRVTDLWMWDARDHHSYQLLVEDLRETAFWDRYFEIVEILPGVENAYARNYGRPAINA