Q59VH7 AF NFT

Candidapepsin-7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigd2pv7jzt7ngmfij6fw4xtoi6uzbqqvbwuikgb2epo4uhntxq5mu/metadata.json
IPFS of structure file: 
bafybeiaztq2c655jucrgavkjegei4hj426e3g47lysoq3h2sidozpwfgwm/AF-Q59VH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE1e5aDB0467c1773e79F5F91807F3aee2545A6f9
First NFT owner address (bech32): 
genesis1u8j6mvzx0sth8eult7gcqle6acj5tfhe899udv
Current NFT ID #51302 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
51302
Accession (UniProt):
Q59VH7
Name::
Candidapepsin-7
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 Q59VH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59VH7|CARP7_CANAL Candidapepsin-7 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=SAP7 PE=1 SV=2 MQRVLELLLLSSTALAVIGDGFIALPVHKLQAGEGSAHFPNRLPIFDVVNGVAKSVEDDVNQIIQPIFGNGIFSGGSIQGTHSGNGHSVKYEVSLPSSSSQKGSNGPSSTDNKDTDPSKTGFSLDDLMNSIPTDFWNLIGLNKAPTSSDNGSKDADFTPSAVSQVEQPTSKSVESTAPGPASSASSSSSSEAASSSQPSEDSQPSSSANKKTGAFFLSLDNTQTLYTATLKVGSPAQEVQVMIDTGSSDLWFISSGNSQCKVNGGSIDCDKYGVFDKSKSSTWHDNKTDYSISYYDGDKASGTMGQDNITFADGFSIENANFAVIDNTTSSIGVFGVGYPELEAVKSKYTNLPFAMKEQNLIAKVAYSLYLDSRDAVQGYILFGGIDHAKYTGDLKAFDIVQSNDKYVYSQIPLTSVASSLNNYTNAYGLPAGSNHPKVGAVIYNGTDSFNGGVDLKDTPTLLDTGTTYSYLSKDQVESIVGLYGNVTYNDAGKAYEVPCWVGNPGNYLEFNFKNEQYIKVPTSEFVISVGTYASGAELCVFGILPGTHSILGDNFMRSVYAVFDLEDHVISIAQAAYNDNHAVVPIE