Q5ADQ7 AF NFT

Probable GPI-anchored adhesin-like protein PGA32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesyisc5f7pvdrkq373wfhvllg6e6otgbsbcdkxcyans7vnssdx5a/metadata.json
IPFS of structure file: 
bafybeidpct3alecq26lo6v3dt4o7ugjmuvowx5qp5togpscwwlxl2zx5fi/AF-Q5ADQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe68A5109F149B286F3fb6Fbb333E888F4332beFE
First NFT owner address (bech32): 
genesis1u699zz03fxegdulmd7anx05g3apn90h7savz43
Current NFT ID #295990 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295990
Accession (UniProt):
Q5ADQ7
Name::
Probable GPI-anchored adhesin-like protein PGA32
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 Q5ADQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ADQ7|PGA32_CANAL Probable GPI-anchored adhesin-like protein PGA32 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=PGA32 PE=1 SV=1 MKVSTLIIVSIPIVSGLQIKDTVGTTTENTFWYQLFGTPSRSQPAAVAATAAGTEVQGFTPISTSSSSSSSSAAPWYQGLFGVGRTTLGQVTTPSRTSTTTTTSNPIAPTTSIANSNNLFGTDTAPTTTTTTNARSRSRSTPVTVSGDNVLTLFGNPNLSTGNDQSNSVSKTTAETTTTSSAPSSSSRVQPTVINGGGSDGVLTLFGNSEALSNFDSTTVVDSDSTARITPIASASASSGSSTKDNDSDSSSARGIKSIPNSSEFLASLINGLGSGGGGNGSGSNTNSYKNHSTTSTTSKYFNSSSTATKLSSSKSIYSNSTTSRSSLSVSSSSTDGGGGANLFGSLLNSVAAVSRTLAAESTLSTGTTTTSDSANSNTKDYSSYSGTITSFPSTTGSLSGDGNKLIGGNKYLISFMWTNLILTMIMLFT