P0CS83 AF NFT

Candidapepsin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7z7nrkkrsbrgoruzmy6ggqwj7akrya37d33j6tsarx2b5xmuhaq/metadata.json
IPFS of structure file: 
bafybeicxnzraeav5eepylgl4e7gbpo2smbree756rhe7yndcux7aisu2yu/AF-P0CS83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #51288 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
51288
Accession (UniProt):
P0CS83
Name::
Candidapepsin-2
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS

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 P0CS83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CS83|CARP2_CANAX Candidapepsin-2 OS=Candida albicans OX=5476 GN=SAP2 PE=1 SV=1 MFLKNIFIALAIALLVDATPTTTKRSAGFVALDFSVVKTPKAFPVTNGQEGKTSKRQAVPVTLHNEQVTYAADITVGSNNQKLNVIVDTGSSDLWVPDVNVDCQVTYSDQTADFCKQKGTYDPSGSSASQDLNTPFKIGYGDGSSSQGTLYKDTVGFGGVSIKNQVLADVDSTSIDQGILGVGYKTNEAGGSYDNVPVTLKKQGVIAKNAYSLYLNSPDAATGQIIFGGVDNAKYSGSLIALPVTSDRELRISLGSVEVSGKTINTDNVDVLLDSGTTITYLQQDLADQIIKAFNGKLTQDSNGNSFYEVDCNLSGDVVFNFSKNAKISVPASEFAASLQGDDGQPYDKCQLLFDVNDANILGDNFLRSAYIVYDLDDNEISLAQVKYTSASSISALT