Q4QNE7 AF NFT

Protein RnfH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddrcmqdhd26eg2htilqywdychganxqsvv3yhhbwu2f3jxeuq5ati/metadata.json
IPFS of structure file: 
bafybeifdxlxru6olyq75oanzvqmmnpsde6wqzsm4m27f6dil7vku2ou52u/AF-Q4QNE7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD9fC5c052709ba0c9A479047FBB3cdbc3D786a16
First NFT owner address (bech32): 
genesis1m879cpf8pxaqexj8jprlhv7dhs7hs6sku8mer7
Current NFT ID #381173 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
381173
Accession (UniProt):
Q4QNE7
Name::
Protein RnfH
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QNE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QNE7|RNFH_HAEI8 Protein RnfH OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=rnfH PE=1 SV=1 MNQINIEIAYAFPERYYLKSFQVDEGITVQTAITQSGILSQFPEIDLSTNKIGIFSRPIKLTDVLKEGDRIEIYRPLLADPKEIRRKRAAEQAAAKDKEKGA