Q5DU09 AF NFT | MOLNFT bioinformatics, blockchain

Zinc finger protein 652

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid2rjenxbpufbfaz5ijimenjkbhugqcnw3wtuewxfcaobfniqtn74/metadata.json

IPFS of structure file:

bafybeifestefekdeldpxzqw2j4ne6nifvl4wgabwt42qkx5xx44nng4fwy/AF-Q5DU09-F1-model_v2.pdb

First NFT owner address (eip-55):

0x0D671490EE06E75975e90D7F99F73B20BE618744

First NFT owner address (bech32):

genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5

Current NFT ID #541388 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541388
Accession (UniProt):
Q5DU09
Name::
Zinc finger protein 652
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q5DU09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5DU09|ZN652_MOUSE Zinc finger protein 652 OS=Mus musculus OX=10090 GN=Znf652 PE=1 SV=2 MSYTASPCPELVEPCAVHAEGMAQEESHRSQAPPTFYHGASQELDLSTKVYKRESGSPYSVLADTKMSKPHLHETEEQPYFREPRAVSDVHTVKEDRENSDDTEEEEEVSYKREQIIVEVNLNNQTLNVSKGEKGVSSQSKETPVLKTSSEEDEEETEEEATDNSSDYGENGRQKKKEKQVERVRVTQRRTRRAASAAAATTSPAPRTTRGRRKSAELPKRKKRATKEAKAPVQKAKCEEKETLTCEKCPRVFNTRWYLEKHMNVTHRRMQICDKCGKKFVLESELSLHQQTDCEKNIQCVSCNKSFKKLWSLHEHIKIVHGYAEKKFACEICEKKFYTMAHVRKHMVAHTKDMPFTCETCGKSFKRSMSLKVHSLQHSGEKPFRCENCDERFQYKYQLRSHMSIHIGHKQFMCQWCGKDFNMKQYFDEHMKTHTGEKPFICEICGKSFTSRPNMKRHRRTHTGEKPYPCDVCGQRFRFSNMLKAHKEKCFRVTSPVNVPPAVQIPLASAPAAPAPAVANTPTSPAPAVSMSPVGAVLPSRPVPHPFSHLHIHTHPHHAHHLPIPPVPHLPPPPALFKSEPLNHRSQSEDTFLRHLAEKNSAAPAQHH