Q64NN6 AF NFT

50S ribosomal protein L17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig654se4fen6lvwpventwftcu4wfsoekumprd7vkbm73agmeghjlm/metadata.json
IPFS of structure file: 
bafybeie34pr2wolpfopfx4sfxwau5fmh2cuz7lczxvvvdnrbzeluv3c7da/AF-Q64NN6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x199F2372C81Df58575EBEe1A02acd194D122F06F
First NFT owner address (bech32): 
genesis1rx0jxukgrh6c2a0tacdq9tx3jngj9ur0nsee7c
Current NFT ID #353587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
353587
Accession (UniProt):
Q64NN6
Name::
50S ribosomal protein L17
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64NN6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64NN6|RL17_BACFR 50S ribosomal protein L17 OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=rplQ PE=3 SV=1 MRHNKKFNHLGRTASHRSAMLSNMACSLIKHKRITTTVAKAKALKKFVEPLITKSKEDTTNSRRVVFSNLQDKLAVTELFKEISVKIADRPGGYTRIIKTGNRLGDNAEMCFIELVDYNENMAKEKVAKKATRTRRSKKTTEAAPAAEVPATEEPKAESAE