Q65CM7 AF NFT

50S ribosomal protein L34

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavyf46igfh5ukg7jzldu74rz4g6vltazf5xdqyrqnserw2nwz4cq/metadata.json
IPFS of structure file: 
bafybeiakaxflu22x4lifljy6a3krne32qvdn74xoeun3nuugtqkglfygty/AF-Q65CM7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5C0bC9C36F16996167015afdB6C60c73a394D024
First NFT owner address (bech32): 
genesis1ts9unsm0z6vkzecptt7md3svww3ef5pyeh7ff9
Current NFT ID #368177 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
368177
Accession (UniProt):
Q65CM7
Name::
50S ribosomal protein L34
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65CM7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65CM7|RL34_BACLD 50S ribosomal protein L34 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=rpmH PE=3 SV=1 MKRTFQPNNRKRSKVHGFRSRMSSKNGRLVLARRRRKGRKVLSA