C3NDW4 AF NFT

Signal recognition particle 54 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4owfipboekypnexzceecjuwiy5w6jkeqzuemkxp7h4p3qsa3zpi/metadata.json
IPFS of structure file: 
bafybeib5a52asny4ppqptjhqntmp24v37lsbdypdhqzt2dha6x7mqud2aq/AF-C3NDW4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #436768 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436768
Accession (UniProt):
C3NDW4
Name::
Signal recognition particle 54 kDa protein
Experimental Method:
Predicted structure
Sequence source:
Sulfolobus islandicus (strain Y.G.57.14 / Yellowstone #1)

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 C3NDW4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3NDW4|SRP54_SULIY Signal recognition particle 54 kDa protein OS=Sulfolobus islandicus (strain Y.G.57.14 / Yellowstone #1) OX=439386 GN=srp54 PE=3 SV=1 MLENIRDAVRKFLTGSTPYEKAVDEFIKELQKSLISSDVNVKLVFSLTAKIKERLNKEKPPSVLERKEWFISIVYDELSKLFGGDKEPNVNPTKLPFIIMLVGVQGSGKTTTAGKLAYFYKRRGYKVGLVAADVYRPAAYDQLLQLGNQIGVPVYGEPNNQNAIEIAKKGVDTFVKNKMDIIIVDTAGRHGYGEETKLLEEMKEIYEALKPDDVILVIDASIGQKAYDLASRFHQASPIGSIIITKMDGTAKGGGALSAVAATGATIKFIGTGEKIDELEIFNAKRYVSRILGMGDIESILEKVKGLEEYEKIQKKMEDVMEGKGKLTLRDVYAQIMALRKMGPLSKVLQHIPGLGVMLPTPSEDQLKLGEEKIRRWLAALNSMTYKELENPSIIDKSRMRRIAEGSGLEVEDVRELLEWYNNMNKLLKMVKRRRGSIDKLFGGKIG