B0JJ94 AF NFT

Potassium-transporting ATPase potassium-binding subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieodi5t5kun37zmjdq3vh6s3qijbremzf74ryxevqi5awdyzfckb4/metadata.json
IPFS of structure file: 
bafybeiefh74edzmuvjnrl3v6qfzvufkohymfpgsqhwds3fb62zzser5wue/AF-B0JJ94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #200590 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
200590
Accession (UniProt):
B0JJ94
Name::
Potassium-transporting ATPase potassium-binding subunit
Experimental Method:
Predicted structure
Sequence source:
Microcystis aeruginosa (strain NIES-843)

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 B0JJ94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JJ94|KDPA_MICAN Potassium-transporting ATPase potassium-binding subunit OS=Microcystis aeruginosa (strain NIES-843) OX=449447 GN=kdpA PE=3 SV=1 MLQGWIQIALTILIIVAITPFFGRYMARVFMERRTLLDPLCDRVESLLYTFVGVKGKENMTGWQYTRAVLYSNAVIAILVFSLIAGQGVLPLNPTGIPAPSWDTTLHTTISFITNSDQQHYSGETTLSYGSQIWGLGYQMFTSAGTGLAVGIAFIRGLTGRPLGNFYVDLIRAITRILLPISIVGAIALIIAGVPETLAGPAILPTLENPNLSQAIARGPVAHFEIIKELGENGGGFFASNSAHPFENPNGFVNLVQLVAILSIPTSLIYTYGVFADNLKQARLIYLIPLGIFIGFTIITAIGEYNGNQAVNSLLGVERAVNFEGKEVRFGWAQSALYAVTTTATMCGAVIAMHDSLMPNGGFATLSNLFLQIVFGGQGTGTAYLFAYLILAVFVTGLMVGRTPEFLGRKIEKREVVLASFLILLVHPIAILIPGAIALAFPDFQGISNPGFHGLSQVIYEYASAAANNGSGFEGLGDSQPAPLAIAAGAKPTITALWWNLSACFSLLAGRYIPIAALLLLADGMSRKQPVPATTGTLRTDTGLFTSVTAGVILILGALTFLPILALGPIAEAFQITRMIG