Q0SN27 AF NFT

50S ribosomal protein L23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvh6ay46kz3rorc5ycfar2a73o657ftecfyrkvhop5sclsrpdo44/metadata.json
IPFS of structure file: 
bafybeihn2bvyyyb2tk64c2kzozamcbnf4ayvul7m4jrhjbdefskh3su4hu/AF-Q0SN27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0B4abCfEbe49aBF15396cd710DB4225D9A19D3cC
First NFT owner address (bech32): 
genesis1pd9tel47fx4lz5uke4csmdpztkdpn57vplrg2q
Current NFT ID #359489 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
359489
Accession (UniProt):
Q0SN27
Name::
50S ribosomal protein L23
Experimental Method:
Predicted structure
Sequence source:
Borreliella afzelii (strain PKo)

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 Q0SN27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SN27|RL23_BORAP 50S ribosomal protein L23 OS=Borreliella afzelii (strain PKo) OX=390236 GN=rplW PE=3 SV=1 MKAYDIIVSPMLTEKTNTQRESINVYVFKVNKRANKKEVGAAIKELFNVTPVSCNLLNIKSKAKVVVSRKGYPIGKGKTSSWKKAYVYLKKEDKIDIF