Q9N658 AF NFT

Zinc finger protein sens

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieh2kat6zdeo3sofmnld3etwagmcegd54orpijx63rw6vikrvpodi/metadata.json
IPFS of structure file: 
bafybeifbkzsvagsff2avdinnz7jb2cko3lhhbuidr2ucxhkv3n47xruoqu/AF-Q9N658-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x357494D6985DbB6d0e40B74Bc031C05d59768EB4
First NFT owner address (bech32): 
genesis1x46ff45ctkak6rjqka9uqvwqt4vhdr454nlcmk
Current NFT ID #146676 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
146676
Accession (UniProt):
Q9N658
Name::
Zinc finger protein sens
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9N658 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9N658|GFI1_DROME Zinc finger protein sens OS=Drosophila melanogaster OX=7227 GN=sens PE=1 SV=1 MNHLSPPPSPHSQQPSPAGLGCHGAALDKQWMQRASAFNTVIASAAAQKLNGRDLPFLYNPLLYSSALLWPQFLLSSATALGTPLTPMTPKSPASVVLGQRDRDFALTPEKEHELQMNNNNENSKQDYQEQDEDMPLNLSTKERITSDDSNRDQYHSSSNNSSRSSSSSEVEQLHPMTSLNVTPPPLSAVNLKSSSTPQQQRQRSQGNIIWSPASMCERSARREQYGLKMEEQGDEEEHQVDPIVRKFKYERRTASISSLQSPISSLSAPASNAVQDLEFEVAQQQLYAHRSAFMAGLTGNNLELLTQHLKLKSEQPQQQQQQHRIKDEQQQDNRSAAALMNLVAAAEFGYMRNQHQQPQQQQQQQLHHQQQPQQHQHQQQHPDSTATDVARRSSSSSSYQGENEEKRSGRNFQCKQCGKSFKRSSTLSTHLLIHSDTRPYPCQYCGKRFHQKSDMKKHTYIHTGEKPHKCTVCLKAFSQSSNLITHMRKHTGYKPFGCHLCDQSFQRKVDLRRHRESRHEEAPPVEDLKPLKMEVSSSSC