A9R0E4 AF NFT

RNA chaperone ProQ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibulm54qvpofaes23ybzmoaxx3fyy6lxoxyjhnki6lvq2reejhdly/metadata.json
IPFS of structure file: 
bafybeiezi4gkvzglxtl75j5nvgvq2yjl2v4jotxydr7e3rps37gvjufidm/AF-A9R0E4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc487cEf008e163c9c475e4f157372b0d7968A7cb
First NFT owner address (bech32): 
genesis1cjruauqgu93un3r4unc4wdetp4uk3f7tm273d6
Current NFT ID #311006 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
311006
Accession (UniProt):
A9R0E4
Name::
RNA chaperone ProQ
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R0E4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R0E4|PROQ_YERPG RNA chaperone ProQ OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=proQ PE=3 SV=1 MENQPKLNSSKEVIAFLAERFPLCFTAEGEARPLKIGIFQDLVERVQGEENLSKTQLRSALRLYTSSWRYLYGVKVGAERVDLDGNPCGVLEEQHVEHARKQLEEAKARVQAQRAEQQAKKREAAIAAGETPEPRRPRPAGKKPAPRREAGAAPENRKPRQSPRPQQVRPPRPQVEENQPRPVPVTDISKLQIGQEIKVRAGKSAMDATVLEIAKDGVRVQLSSGLAMIVRAEHLQF