A4YWY9 AF NFT

Probable potassium transport system protein kup 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicatdcdfagg4dxaukn6eiytfd6edncmac54vye5usedknsivrkzbq/metadata.json
IPFS of structure file: 
bafybeifa46ddxwofhu4ufknwrz2guveigriildfs2ockfwhdj3yy4h76qy/AF-A4YWY9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x76Fe9b3d9A49b2ada7e59764A23c2894bde86C78
First NFT owner address (bech32): 
genesis1wmlfk0v6fxe2mfl9jaj2y0pgjj77smrcp8nrak
Current NFT ID #206173 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206173
Accession (UniProt):
A4YWY9
Name::
Probable potassium transport system protein kup 3
Experimental Method:
Predicted structure
Sequence source:
Bradyrhizobium sp. (strain ORS 278)

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 A4YWY9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4YWY9|KUP3_BRASO Probable potassium transport system protein kup 3 OS=Bradyrhizobium sp. (strain ORS 278) OX=114615 GN=kup3 PE=3 SV=1 MTATATTTEGQETASTSGFWGLTLGSIGVVFGDIGTSPLYAFREAAIGAAHGQPVSRMIVLGVLSLILWSLFIVVTAKYVLLLLRADNNGEGGTLSLMALGQRALGRRSMFLMALGVVGASMFIGDSMITPAISVLSAVEGLKLAAPALEHYVVPLTVFILVVLFAVQSKGTARVATAFGPVMVTWFLSLAVMGIVHISDDPSVLAAINPYYAVHFLLSHGTVGLVTLGAVFLAVTGGEALYADLGHFGRKPIQSAWLFFVLPALLINYFGQGALVLSDPAAIENSFYRMVPELLLLPLVVLATAATVIASQAVITGAYSLVSQAVQLGLLPRFEVRYTSESHAGQIYLPRVNRLLLIGVMLLVLMFRTSSNLASAYGIAVSTTMVADGIMGFVVIWKLWNLRAAVAAAIIAPFVIVDLTFFSANLLKLFEGAWVPLLFGAAMVVTIWTWRRGSAILTLKTRKIEVPLDDLVASLEKRPPHIVKGTAVFLTSDPTSVPTALLHNLKHNKVLHEHNVILTIETAQTPRVDVSERVRMEKISEKFSKVRLRFGFMESPNVPRALAVARKLGWQFDIMSTSFFVSRRSLKPSSQSGMPMWQDHLFIGLSRSANDATDYFQIPTGRVVEVGTQVTI