Q48768 AF NFT

Chemotaxis protein CheA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajbjtq4nmfoblrw5wrfke5m3ltv5gtnxzexhvo4hi3bcz2x4rl2a/metadata.json
IPFS of structure file: 
bafybeihert73w2rvic7n4slvlrhtvahag36fahb6y6t37md4lwzpqybzeu/AF-Q48768-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF4089482c9F305083AE4073ef683C745B0f8C6F5
First NFT owner address (bech32): 
genesis17syffqkf7vzsswhyqul0dq78gkc033h4nsm6tz
Current NFT ID #61316 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
61316
Accession (UniProt):
Q48768
Name::
Chemotaxis protein CheA
Experimental Method:
Predicted structure
Sequence source:
LISTERIA MONOCYTOGENES SEROVAR 1/2A (STRAIN ATCC BAA-679 / EGD-E)

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 Q48768 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q48768|CHEA_LISMO Chemotaxis protein CheA OS=Listeria monocytogenes serovar 1/2a (strain ATCC BAA-679 / EGD-e) OX=169963 GN=cheA PE=3 SV=2 MTTNMLDLFIEEASEHLQALNDNLLQLEKDPTNGQLVSEIFRSAHTFKGMSATMGFQQVADLTHAMENVLDEVRNNRLAVTEHLVDIIFTCTSHLETMVSDIQHGGQGAADISKTVADLEALLHPEQETDLTVEKTYRIAIQIEEAAILKAVRAVMCLERLAEMGIISETTPDREAIELEEFEQSFEVVLESAQTKDEIKAVILDISEIEKVTVTEEVEEVQVIEPIKKAAKQTTKRLENKTIRVQLEKIEKLMNVFEESVIERARIDEIAEKTNNKELMEHLGRFSSISKEIQNGLLNMRMVPVDSVFNRFPKMVRTLAKELGKKIDLVIEGADTEVDKIVIDEIGDPLVHLIRNSVDHGAETVEVRRKNGKNETATINLKAFHSGNNVVIEIADDGAGINKRKVLEKAIAKNVVTRAESTKMTDAEIFDLLFDSGFSTADQVSDLSGRGVGLDVVRNTILKIGGKISVESSENAGSTFRIEIPLTLSIIQSMLVATSERRYAVPLANVAEAITINPADIQHVHGKDLINYRETIIEVLDLGECFHETPLNDTDELLLLVVKNAKRTFGLIIKDIIGQREIVLKTLGGFFSESQIAFSGATILGDGRVVLILNLETF