P69963 AF NFT

50S ribosomal protein L23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefhq6zwq6hnytkfswuitphsbccmvw636ad3n6zqxlhyfuofaiy2u/metadata.json
IPFS of structure file: 
bafybeicuh6l5d4k5hnyjyhye3ovhixzn4nugpy4e3ckocfzygger4ceaxu/AF-P69963-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52eed1164b71286E6413de11A2358780D6d90f8B
First NFT owner address (bech32): 
genesis12thdz9jtwy5xueqnmcg6ydv8srtdjrutpyg0la
Current NFT ID #360104 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
360104
Accession (UniProt):
P69963
Name::
50S ribosomal protein L23
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 P69963 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69963|RL23_YERPE 50S ribosomal protein L23 OS=Yersinia pestis OX=632 GN=rplW PE=3 SV=1 MIREERLLKVLRSPHVSEKASAAMEKNNTIVLKVAKDATKAEIKAAVQKLFEVEVEDVNTLLVKGKSKRHGQRVGRRSDWKKAYVTLKEGQNLDFIGGAE