C4YMJ3 AF NFT

Candidapepsin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5sw4lvsypnpjxvz6aetc4fapf34b6rixpvv6l7vqsiuzi343tyy/metadata.json
IPFS of structure file: 
bafybeihgibrb6mtidcpc5aoqz4cvel2osjmdjuycqeoq5f4lq3gjxobyya/AF-C4YMJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32487a5305f4984ca258817a77b56Dc58ab8670B
First NFT owner address (bech32): 
genesis1xfy855c97jvyegjcs9a80dtdck9tsectly3ckr
Current NFT ID #51287 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
51287
Accession (UniProt):
C4YMJ3
Name::
Candidapepsin-2
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN WO-1)

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 C4YMJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C4YMJ3|CARP2_CANAW Candidapepsin-2 OS=Candida albicans (strain WO-1) OX=294748 GN=SAP2 PE=1 SV=1 MFLKNIFIGLAIALLVDATPTTTKRSAGFVALDFSVVKTPKAFPVTNGQEGKTSKRQAVPVTLHNEQVTYAADITVGSNNQKLNVIVDTGSSDLWVPDVNVDCQVTYSDQTADFCKQKGTYDPSGSSASQDLNTPFKIGYGDGSSSQGTLYKDTVGFGGVSIKNQVLADVDSTSIDQGILGVGYKTNEAGGSYDNVPVTLKKQGVIAKNAYSLYLNSPDAATGQIIFGGVDNAKYSGSLIALPVTSDRELRISLGSVEVSGKTINTDNVDVLLDSGTTITYLQQDLADQIIKAFNGKLTQDSNGNSFYEVDCNLSGDVVFNFSKNAKISVPASEFAASLQGDDGQPYDKCQLLFDVNDANILGDNFLRSAYIVYDLDNNEISLAQVKYTSASSISALT