Q7VV72 Methionine import ATP-binding protein MetN MolNFT, Molecular NFT on GenesisL1

Methionine import ATP-binding protein MetN

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiakf26g6j5tiaguezeoiboyxwmsb3renqijpqnu4i3y5n4qkg2vli/metadata.json

IPFS of structure file:

bafybeid75qeydm63jiexoxbcmnzboa4lul5iqn4cqomfq7vyhiwvuj73pm/AF-Q7VV72-F1-model_v2.pdb

First NFT owner address (eip-55):

0x723ec01D8D0DEca6E929c34b24C0D4fFE2fA25ae

First NFT owner address (bech32):

genesis1wglvq8vdphk2d6ffcd9jfsx5ll305fdw2tkjaq

Current NFT ID #232190 owner (web3):

0x6Fb5E548116C1d6F3463c64b0cc24C6fC51fAc1F

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
232190
Accession (UniProt):
Q7VV72
Name::
Methionine import ATP-binding protein MetN
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VV72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VV72|METN_BORPE Methionine import ATP-binding protein MetN OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=metN PE=3 SV=1 MIHIENLSKTYATPHGRFEALRGINLHIQQGEVFGIIGPSGAGKSTLVQCINLLERPDQGSIAIGGQALVGLGEAQLRNQRRRIGMVFQGFNLLARRTVYGNVALPLEIAGVARAEIPARVERLLALVGLEHLRDRYPSQISGGQKQRVGIARALANDPDVLLSDEATSALDPETTHNILALLRDINRKTGVTVVMITHQMEVVREICDRVAVLSHGEVVELGSTREVFAAPRHEVTRAMVSAATASDLSEATLAAVKQRIDALAAAEPGRAVRLWRLSLKGVAAGEPLWSDLAREFALDVSLVQARVEDIQGVAVGTLFVLAQGAPHAVKDALAALAAREITVEEIAHEPATDRSAYHVAA

Q7VV72 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q7VV72 research and analysis (ICN3D with VR)

FASTA sequences

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