B9IUM6 RNA-binding protein Hfq MolNFT, Molecular NFT on GenesisL1

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigh6lxx5pewzgpcujiqwvsdcohlps47jbqqs7szkxv6lq7xtg3peq/metadata.json

IPFS of structure file:

bafybeiaopcanjjfocu2s2u4sgll2bglhz2l4tz527s4yaj7i2gj4o7mgim/AF-B9IUM6-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa4785222Bbe47502ED0a362Ddab993F3F3B268aC

First NFT owner address (bech32):

genesis153u9yg4mu36s9mg2xcka4wvn70emy69v6rl83x

Current NFT ID #168797 owner (web3):

0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168797
Accession (UniProt):
B9IUM6
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9IUM6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9IUM6|HFQ_BACCQ RNA-binding protein Hfq OS=Bacillus cereus (strain Q1) OX=361100 GN=hfq PE=3 SV=1 MKQSINIQDQFLNQLRKENTFVTLYLLNGFQLRGLIKGFDNFTVLLETEGKQQLIYKHAISTFVPQKNVSIELE

B9IUM6 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B9IUM6 research and analysis (ICN3D with VR)

FASTA sequences

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