O14415 AF NFT

Signal recognition particle SEC65 subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemmg4gi4hu72ep3yp5ws6nqunx7c76yqscursqjwat6nwwwizcxi/metadata.json
IPFS of structure file: 
bafybeihlo3xkhe4gzvvwo2uu4s6mqbdpb2okqhbi5orxctqwteef4kvqey/AF-O14415-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #423477 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423477
Accession (UniProt):
O14415
Name::
Signal recognition particle SEC65 subunit
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS

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 O14415 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O14415|SEC65_CANAX Signal recognition particle SEC65 subunit OS=Candida albicans OX=5476 GN=SEC65 PE=3 SV=1 MSNNKRPVLEEVDDDDIDNMDMDIAEFDPSLTTPIAPKRPEPTVVRSQDSEPSLFPNIPSNQVQPPPKQASSRNGIMDPNSFTEEEKKQFDQFQIIYPCYFDINRSHKQGRRVSIDRAVENPLATTISDACRRLGLPVFLELDKTHPQDFGNPGRVKVLFKAVFDNGKLINPKLQTKRVLFNVIAEYLSEHPTTLESIGPKSGVPRPPEFENDFQPEEIPKVKGFKMNTIVPIHSNLTLKHPMTKHIYDPEPETPAAGKPNVPKIPKKKVMKIRG