Q00004 AF NFT

Signal recognition particle subunit SRP68

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmzecde6ayhwv2v5kvnainhbhact4wgthtuilkpfoxiodbp7ri6q/metadata.json
IPFS of structure file: 
bafybeifmvrnoeynchvzmeotx7agkgi76gyrcz4q2pxr5jd47hwjgbtsw5i/AF-Q00004-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11Ee299A711966b8aD757D4cFC2c01135b4a9e44
First NFT owner address (bech32): 
genesis1z8hznxn3r9nt3tt404x0ctqpzdd548jyw5etem
Current NFT ID #436781 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436781
Accession (UniProt):
Q00004
Name::
Signal recognition particle subunit SRP68
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 Q00004 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q00004|SRP68_CANLF Signal recognition particle subunit SRP68 OS=Canis lupus familiaris OX=9615 GN=SRP68 PE=1 SV=1 MAAEKQVPGGGGGGGGGGGGGGGSGGGRGAGGEENKENERPSAGSKANREFGDSLSLEILQIIKESQQQHGLRHGDFQRYRGYCSRRQRRLRKTLNFKMGNRHKFTGKKVTEDLLTDNRYLLLVLMDAERAWSYAMQLKQEANTEPRKRFHLLSRLRKAVKHAEELERLCESNRVDAKTKLEAQAYTAYLSGMLRFEHQEWKAAIEAFNKCKTIYEKLASAFTEEQAVLYNQRVEEISPNIRYCAYNIGDQSAINELMQMRLRSGGTEGLLAEKLEALITQTRAKQAATMSEVEWRGRTVPVKIDKVRIFLLGLADNEAAIAQAESEETKERLFESMLSECRDAIQAVREELKPDQKQRDYTLDGESGKVSNLQYLHSYLTYIKLSTAIRRNENMAKGLQKALQQQPEDESKRSPRPQDLIRLYDIILQNLVELLQLPGLEEDRAFQKEIGLKTLVFKAYRCFFIAQSYVLVKKWSEALVLYDRVLKYANEVNSDAGAFRNSLKDLPDVQELITQVRSEKCSLQAAAILDASDSHQPETSSQVKDNKPLVERFETFCLDPSLVTKQANLVHFPPGFQPIPCKPLFFDLALNHVAFPPLEDKLEQKTKSGLTGYIKGIFGFRS