Q9ZMF0 AF NFT

Putative methylthiotransferase jhp_0270

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagk5fmjrulsshmbhz733mwflnrjwo3p7znvtr64niuokp27yoy3a/metadata.json
IPFS of structure file: 
bafybeibvghdeq7lp2sc4xmespkfjgi73y6pm3dwxvz5zcbj2u3d7doyi3q/AF-Q9ZMF0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x05D249E48b5e19C17E7AE90Ad57354470160c428
First NFT owner address (bech32): 
genesis1qhfyneyttcvuzln6ay9d2u65guqkp3pgdjkcva
Current NFT ID #513843 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513843
Accession (UniProt):
Q9ZMF0
Name::
Putative methylthiotransferase jhp_0270
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZMF0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZMF0|Y285_HELPJ Putative methylthiotransferase jhp_0270 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0270 PE=3 SV=1 MKKVYFKTFGCRTNLFDTQVMGENLKDFSATLEEQEADIIIINSCTVTNGTDSAVRSYARKMARLDKEVLFTGCGVKTQGKELFEKGLLKGVFGHDNKEKINALLQEKKRFFIDDNLENKHLDTTMVSEFVGKTRAFIKIQEGCDFDCNYCIIPSVRGRARSFEERKILEQVGLLCSKGVQEVVLTGTNVGSYGKDRGSNIARLIKKLSQITGLKRIRIGSLEPNQINDEFLELLEEDFLEKHLHIALQHSHDFMLERMNRRNRTKSDRELLEIIASKNFAIGTDFIVGHPGESESVFEKAFKNLESLPLTHIHPFIYSKRKDTPSSLMRDSVSLEDSKKRLNAIKDLIFHKNKAFRQLQLKLNTPLKALVEAQKDGEFKALDQFFNPIKIKSDKPLRASFLEIKEYEIKERENHAVF