Q89LQ2 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsbb44yhxwtgcg5jlatpt4ln55lm3pa7gclnxx6dcdeeewyq3k2q/metadata.json
IPFS of structure file: 
bafybeielmjmqaafpa2twgc65hmsibzgzo3ksy36cbqsqszad3aaa5lnsie/AF-Q89LQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9377360E5534e0b32ED177Ed6f54ffBbf020C961
First NFT owner address (bech32): 
genesis1jdmnvrj4xnstxtk3wlkk748lh0czpjtp44s28e
Current NFT ID #168818 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168818
Accession (UniProt):
Q89LQ2
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
BRADYRHIZOBIUM DIAZOEFFICIENS (STRAIN JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110)

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 Q89LQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89LQ2|HFQ_BRADU RNA-binding protein Hfq OS=Bradyrhizobium diazoefficiens (strain JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110) OX=224911 GN=hfq PE=3 SV=1 MAADRAQNLQDTFLNHVRKTKTPLTIFLVNGVKLQGIVTWFDNFCLLLRRDGHSQLVYKHAISTIMPGAPIQLFEGGEDQPA