P08982 Sensor histidine kinase EnvZ MolNFT, Molecular NFT on GenesisL1

Sensor histidine kinase EnvZ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidpfztnzqhmidgbyevl6ai62pdfufj4bp755mdccskkmzggvs7m3y/metadata.json

IPFS of structure file:

bafybeiepg6k5g4q75ihmphd2vefkurexht7a77et52hzeza3fb4ijbuqwm/AF-P08982-F1-model_v2.pdb

First NFT owner address (eip-55):

0xA0183abbaa5f9E435c3F55dEe4F5dbc246fdFaE9

First NFT owner address (bech32):

genesis15qvr4wa2t70yxhpl2h0wfawmcfr0m7hfwmgsl6

Current NFT ID #118573 owner (web3):

0xa73BAb1DabE4333A884D03393eAa10c3B4215494

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
118573
Accession (UniProt):
P08982
Name::
Sensor histidine kinase EnvZ
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHIMURIUM (STRAIN LT2 / SGSC1412 / ATCC 700720)

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 P08982 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P08982|ENVZ_SALTY Sensor histidine kinase EnvZ OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=envZ PE=3 SV=2 MRRMRFSPRSSFARTLLLIVTLLFVSLVTTYLVVLNFAILPSLQQFNKVLAYEVRMLMTDKLQLEDGTQLVVPPAFRREIYRELGISLYTNEAAEEAGLRWAQHYEFLSHQMAQQLGGPTEVRVEVNKSSPVVWLKTWLSPNIWVRVPLTEIHQGDFSPLFRYTLAIMLLAIGGAWLFIRIQNRPLVDLEHAALQVGKGIIPPPLREYGASEVRSVTRAFNHMAAGVKQLADDRTLLMAGVSHDLRTPLTRIRLATEMMGEEDGYLAESINKDIEECNAIIEQFIDYLRTGQEMPMEMADLNSVLGEVIAAESGYEREINTALQAGSIQVKMHPLSIKRAVANMVVNAARYGNGWIKVSSGTESHRAWFQVEDDGPGIKPEQRKHLFQPFVRGDSARSTSGTGLGLAIVQRIIDNHNGMLEIGTSERGGLSIRAWLPVPVARVQGTTKEA

P08982 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P08982 research and analysis (ICN3D with VR)

FASTA sequences

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