Q8MZJ6 AF NFT

Signal recognition particle 54 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiar25zzg2au2se7x524oh7cc3azwsogpkjciqieuefcdvis6b3j24/metadata.json
IPFS of structure file: 
bafybeicvywfiomvcyiwo46fbmn2m6c7357u23fiewrwneifwwkaepindyq/AF-Q8MZJ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #436702 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436702
Accession (UniProt):
Q8MZJ6
Name::
Signal recognition particle 54 kDa protein
Experimental Method:
Predicted structure
Sequence source:
GEODIA CYDONIUM

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 Q8MZJ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8MZJ6|SRP54_GEOCY Signal recognition particle 54 kDa protein OS=Geodia cydonium OX=6047 GN=SRP54 PE=2 SV=1 MVLADLGRKITTALLPRQRTVINEEVLQAMLKEICTALLEADVNVKLVGKLRQNVRAAIDFEDMGAGLSKRRIIQTSVFNELCKLLDPGVPVWHPTKGHSNVIMFVGLQGSGKTTTCTKLAYHYQKKGWKTCLVCADTFRAGAFDQLKQNATKARVPFYGSYTEMDPVVIAQEGVEKFKEDSFEVIIVDTSGRHKQEESLFEEMLQVSQAIDPDNIIFVMDGTIGQACESQARAFKEKVDVASVIVTKLDGHAKGGGALSAVAATRSPIIFIGTGEHIDEMEPFKTKPFVSKLLGMGDLEGLMEKVSDLKLDENEELMDKLKHGQFTLRDMYEQFQNIMKMGPFNQIIGMIPGFSPDFMSKGNERESMAKLKRLMTMMDSMNDGELDHPNGAKLFSKQPGRAARVARGSGTSVREVNELLKQYSNFSATVKKMGGIKGLFKGGDLGKNVNPSQMAKLNQQMAKMMDPRVLQQMGGMSGLQNMMRQFQQGASNMPGFKGK