P40860 Sulfate/thiosulfate import ATP-binding protein CysA MolNFT, Molecular NFT on GenesisL1

Sulfate/thiosulfate import ATP-binding protein CysA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihexivxpbqot5dzjferd5pzjhdd7qbmvzbuks6dmkxd27xcmvp2ce/metadata.json

IPFS of structure file:

bafybeigrutmrbb7624gow5jnti7zb5gfce4uivekggudn7lhz7l5hawmfy/AF-P40860-F1-model_v2.pdb

First NFT owner address (eip-55):

0x572ca54c59cbee8eDC4B5f2586e33e3f4da57bB0

First NFT owner address (bech32):

genesis12uk22nzee0hgahzttujcdce78ax627ase8v70h

Current NFT ID #85378 owner (web3):

0x024E776336F8eD4B2eC1b7523E5a42EABB50f840

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
85378
Accession (UniProt):
P40860
Name::
Sulfate/thiosulfate import ATP-binding protein CysA
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 P40860 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40860|CYSA_SALTY Sulfate/thiosulfate import ATP-binding protein CysA OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=cysA PE=3 SV=2 MSIEIARIKKSFGRTQVLNDISLDIPSGQMVALLGPSGSGKTTLLRIIAGLEHQSSGHIRFHGTDVSRLHARERKVGFVFQHYALFRHMTVFDNIAFGLTVLPRRDRPTAAAIKTKVTQLLEMVQLAHLADRFPAQLSGGQKQRVALARALAVEPQILLLDEPFGALDAQVRKELRRWLRQLHEELKFTSVFVTHDQEEATEVADRVVVMSQGNIEQADAPDRVWREPATRFVLEFMGEVNRLTGTVRGGQFHVGAHRWPLGYTPAYQGPVDLFLRPWEVDISRRTSLDSPLPVQVIEASPKGHYTQLVVQPLGWYHDPLTVVMAGEDVPVRGERLFVGLQKARLYNGDQRIETREEELALAQSA

P40860 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P40860 research and analysis (ICN3D with VR)

FASTA sequences

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