Q7YWA7 AF NFT

Secapin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpcloamw3zaojc3vub6xz5vszhdoemjljwmfuo3ypgnsrssjjs3q/metadata.json
IPFS of structure file: 
bafybeiedlkxuud7qhy6m5csyzp5b2ewo7zgzvqoehicz534jron2mrt7aq/AF-Q7YWA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x204aA8D555633B1cE4234b372109632474dc622F
First NFT owner address (bech32): 
genesis1yp923424vva3eeprfvmjzztry36dcc30z0e6la
Current NFT ID #425027 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
425027
Accession (UniProt):
Q7YWA7
Name::
Secapin
Experimental Method:
Predicted structure
Sequence source:
Vespa magnifica

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 Q7YWA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7YWA7|SECP_VESMG Secapin OS=Vespa magnifica OX=202807 PE=2 SV=1 MKNYSKNATYLITVLLFSFVAMLLIIPSKCEAVSNDMQPLEARSADLVPEPRYIIDVPPRCPPGSKFIKNRCRVIVP