Q6FP52 AF NFT

Signal recognition particle SEC65 subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjubwm7t4e4dux2lnjzzwqxnmvwqq4a2gi4c7b4r7ugluwh2phjm/metadata.json
IPFS of structure file: 
bafybeicxwf653bzdefbtygglq6a6ada5qrcmroinws4dhiz4zxv5facrfm/AF-Q6FP52-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e17C80A3064A18cE97C3a90e5C69D9a222F548e
First NFT owner address (bech32): 
genesis1tctusz3svjsce6tu82gwt35ang3z74ywa9z6gx
Current NFT ID #423478 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423478
Accession (UniProt):
Q6FP52
Name::
Signal recognition particle SEC65 subunit
Experimental Method:
Predicted structure
Sequence source:
CANDIDA GLABRATA (STRAIN ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65)

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 Q6FP52 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FP52|SEC65_CANGA Signal recognition particle SEC65 subunit OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=SEC65 PE=3 SV=1 MPKLEEIEDYDDIDNMDMDLAELDPTLNTPIAPKITPTVVRSQDIEEEERKKQYAGSNKEMISFINPQTGKVEESAPITKQELDEVKKFQVLYPCYFDKNRSHKEGRRVPIEMAVENPLAKTISDAVREYGLLSIFEGDKCHPQDFGNPGRIRVLLKEEGKLVPSASKFSGGKRQLMKLVAEYLQKHPTTVESLRELPYGPDFDNIEFKKIPKVKGFKMNDIVPLHSPYLWGHPMTKSIYEAPKIEAPEKQFKAPKNKFKVVRR