A4WLQ3 AF NFT

Signal recognition particle 54 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7sxdzxsnm2plkxer5s376row67kcvuimlvedejjitgemk27mp6q/metadata.json
IPFS of structure file: 
bafybeihoralvqr3q2u72v4nppehugwozndibaonqcvsxjk5yjzt2qeialq/AF-A4WLQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6b10316aB8893Dd7E94efdF6F8cc1066488eeA6e
First NFT owner address (bech32): 
genesis1dvgrz64c3y7a062wlhm03nqsveyga6nwtv4ern
Current NFT ID #436746 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436746
Accession (UniProt):
A4WLQ3
Name::
Signal recognition particle 54 kDa protein
Experimental Method:
Predicted structure
Sequence source:
Pyrobaculum arsenaticum (strain DSM 13514 / JCM 11321 / PZ6)

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 A4WLQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4WLQ3|SRP54_PYRAR Signal recognition particle 54 kDa protein OS=Pyrobaculum arsenaticum (strain DSM 13514 / JCM 11321 / PZ6) OX=340102 GN=srp54 PE=3 SV=1 MKALTELFSKLVEKIRDVEYIDEATLQEIAREIQRTLLKADVPLDLVKTFTDNAVKRIREEKPPAGIPPREYLIYVLYEELVKLMGGEQPAEFKPTKKPYIVLLLGVEGSGKTTTSAKLARYLMKRGYKVGMVETDTIRPAAFDQLRQLAEKIGAPFYGERDGKDAVEIARRGVANLKGVDVLIIDTAGRHRNEEALLQEVKAIYDAVNPDEVVLVVDATVGKLAAAQAEAFMKYLPIHTVIITKMDSTARGGGALAAVAKTGARVKFIGVGEDVEELEPFNPRKFVARLLGMGDLDALLEKIKAVFEEEEVLEEIESGRLDLLTFKKQIDSLMKLGPLSKVFQLLPGGLAAKISEEQIELSQKNLKKWRAILSSMTMEELKNPDILNASRIRRIALGAGVTPKDVKEMLTVYENLKKMSKTLKRQMRLRMAR