B3QIM2 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighsvd3jnuuvw4dabttde6pnr66f62ix427gco2inf6tln2jsa4bm/metadata.json
IPFS of structure file: 
bafybeigne2hkbgqs73h5w25ci327ojsopn756mo3vqy555ealg64cd2rla/AF-B3QIM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe1a3255Eb5D00A44d1ac83ABb776899a5fE974ac
First NFT owner address (bech32): 
genesis1ux3j2h446q9yf5dvsw4mwa5fnf07ja9vg95eu2
Current NFT ID #169043 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
169043
Accession (UniProt):
B3QIM2
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain TIE-1)

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 B3QIM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3QIM2|HFQ_RHOPT RNA-binding protein Hfq OS=Rhodopseudomonas palustris (strain TIE-1) OX=395960 GN=hfq PE=3 SV=1 MAADRAQNLQDTFLNHVRKTKTPLTIFLVNGVKLQGIVTWFDNFCLLLRRDGHSQLVYKHAISTIMPGAPIQLFESGEDSPA