B4NYQ2 AF NFT

Zinc finger CCCH-type with G patch domain-containing protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifv3h6ce3vdd6skasxrn6ykof7gr3m646hahcgyivfenfcmpkm4zq/metadata.json
IPFS of structure file: 
bafybeiftgayudhc2rl22u247js4obu5pxb4cgzyeusvp6rapqsu3iaayly/AF-B4NYQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #540533 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540533
Accession (UniProt):
B4NYQ2
Name::
Zinc finger CCCH-type with G patch domain-containing protein
Experimental Method:
Predicted structure
Sequence source:
Drosophila yakuba

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 B4NYQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4NYQ2|ZGPAT_DROYA Zinc finger CCCH-type with G patch domain-containing protein OS=Drosophila yakuba OX=7245 GN=GE18884 PE=3 SV=1 MEEYEAQLLVVEQALENAADEAQRQDLLALKNNLQELLALTRDTGDEAHTDELPQQGDDLDDELQRLKSELSDLEAVGSSQTALDEERQLADLRTKYTAMVGEKCSAPHEHSWGTCYHNALICGVDDEVVMNSEGVLDARLRVLFTNPTHREMLPCSYYLEGECRFDETKCRFSHGALVPGSSIRKYNPPDFHKLSRSRPVFALLPDRLWHRGRVLCVNFVEQVCRVRLDGQDHKERERDFKFEELFPLTTDQDEDDELSSEESNSSMNDDSSDEAESDMDDLEEARRARMVELSLFTFKPTERLGAWEEFTRGIGSKLMEKMGYIHGTGLGSDGRGIVTPVSAQILPQGRSLDACMELREAANGDKDYFSVERKLKRAQRRQRKADEKAYVRESQRVDVFTFLNDSVLGPGESSQQGEQVAKKIKTNELQQHSTKTLNVETVRIADEIRRKQRDMAKVKQSLDRNSGDAQLQKRLQVQMESHKQELATLQAQERSLSKEQQTRKSKNKMFEF