Q59WG5 AF NFT

Probable pathogenesis-related protein CaO19.2336

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewae46mwirewb3ogd7g55wcb5gngjufx6zcpnrhcgtd6e7hdkkte/metadata.json
IPFS of structure file: 
bafybeihwrd36xq2xv64cb74d7plmux7isncwts7v3obfwu264ohupsm2dq/AF-Q59WG5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #512000 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512000
Accession (UniProt):
Q59WG5
Name::
Probable pathogenesis-related protein CaO19.2336
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59WG5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59WG5|Y2336_CANAL Probable pathogenesis-related protein CaO19.2336 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=CAALFM_C110810WA PE=2 SV=1 MKTLLFIYLQLLLLLSIIIGRVVKVEYLHLVVEVEPSTITESCLSDGIDGYSGSFYLNTTFAELMLKEHNNKRKLHQSCPLKWSSELFNYASQFAAEYSCSGILQHSGGKYGENLAFGYSPIGAIEAWYDEGEMYVYGSENVYNHFTAIVWNNTNSLGCAYKSCDTTTNLNALYIVCSYYPPGNVIGYSSQNVFPLNSKMVN