Q65P72 AF NFT

30S ribosomal protein S9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgbptfcyewgejkwywbugdd444aqxmjvpq4kqvwztch2pewqq4gse/metadata.json
IPFS of structure file: 
bafybeifw7sow3qm4v6yozwdy7ccdweystjvpigxzvodfdeb64sjuthhdb4/AF-Q65P72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4853f9898b53fc29D97B211C87020A0c7A65b1A8
First NFT owner address (bech32): 
genesis1fpflnzvt207znktmyywgwqs2p3axtvdgpn0u9j
Current NFT ID #410098 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410098
Accession (UniProt):
Q65P72
Name::
30S ribosomal protein S9
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 Q65P72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65P72|RS9_BACLD 30S ribosomal protein S9 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=rpsI PE=3 SV=1 MAQVQYYGTGRRKSSVARVRLVPGEGRIIVNNREISEHIPSAALIEDIKQPLTLTETAGTYDVLVNVHGGGFSGQAGAIRHGIARALLEADPEYRSTLKRAGLLTRDARMKERKKYGLKGARRAPQFSKR