Q2YQM9 AF NFT

Probable potassium transport system protein kup

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlvpwx6prv3osxt3dgbw72d5nm7fs65vtfgqj2hnh47473vxxk3m/metadata.json
IPFS of structure file: 
bafybeigqshudctzogexlda457etcmxv2rxv3ultoos6xpcdpyn2lqz2zre/AF-Q2YQM9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x68211153F5d6EA962c60655EB18c9D34eA735712
First NFT owner address (bech32): 
genesis1dqs3z5l46m4fvtrqv40trryaxn48x4cjfknfhp
Current NFT ID #206214 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
206214
Accession (UniProt):
Q2YQM9
Name::
Probable potassium transport system protein kup
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA ABORTUS (STRAIN 2308)

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 Q2YQM9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2YQM9|KUP_BRUA2 Probable potassium transport system protein kup OS=Brucella abortus (strain 2308) OX=359391 GN=kup PE=3 SV=1 MSGELNGNDTSAQAAVSAGSVLEGAAFADEGEQHNESMKTLVLGALGVVYGDIGTSPIYAFREALHAAATNGILARSDILGVVSLIFWALTLVVTVKYVLFVLRADNNGEGGILSLMALVRGALKGRPDLILGVGICGAALFFGDAVITPAISVLSAMEGLEIVAPNLTPFVVPAAVVILVTLFSVQKLGTGRVAIVFGPIMALWFVALGASGLWHIFDDPTVMAALNPYYAVRFLTVSPAVAFVTVGAVFLAMTGAEALYADLGHFGRKPIVRAWLWIVFPCLLLNYFGQAAFILSHGEAAALPFFQMIPSFALWPMVLLATAATVIASQAVITGAYSVARQAVQLNILPRLEIQHTSEKLHGQIYIPRVNLLLGLAVVILVLGFEKSSNLAAAYGIAVTGNMLVTTVLLYIAMTRIWNWRVSRALPIILGFLVIDMLFFSANIIKVHEGGWASIGIATVLVLIMWTWVRGTRHLFQKTRKAEVPLDLIVEQMAKRPPTIVPGTAVFLTGDPKSAPTALMHSLKHYKVLHENNVILTVVTASKPWVASADRARVSQYNERFMLVTLTFGYMQQPNIPRALGLCRRLGWKFDIMTTSFFLSRRSLKASVHSGMPLWQDKLFILLARTASDATEYFQIPTGRVVEIGTQVNI