P0CY26 AF NFT

Candidapepsin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigodlidub3nqtfqppiuacrdagt7hqzkht6y3jb7dpaecs4kqbiqm4/metadata.json
IPFS of structure file: 
bafybeiet2drtnekqsftoczgfqcodlghe6z72nwoamr4ltckxafgn4ap3ja/AF-P0CY26-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x822E012D889323C46BeB0B18E712e15c69cF5f87
First NFT owner address (bech32): 
genesis1sghqztvgjv3ug6ltpvvwwyhpt35u7hu8w78mmv
Current NFT ID #51283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
51283
Accession (UniProt):
P0CY26
Name::
Candidapepsin-1
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 P0CY26 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CY26|CARP1_CANAX Candidapepsin-1 OS=Candida albicans OX=5476 GN=SAP1 PE=1 SV=1 MFLKNIFIALAIALLVDASPAKRSPGFVTLDFDVIKTPVNATGQEGKVKRQAIPVTLNNELVSYAADITIGSNKQKFNVIVDTGSSDLWVPDASVTCDKPRPGQSADFCKGKGIYTPKSSTTSQNLGSPFYIGYGDGSSSQGTLYKDTVGFGGASITKQVFADITKTSIPQGILGIGYKTNEAAGDYDNVPVTLKNQGVIAKNAYSLYLNSPNAATGQIIFGGVDKAKYSGSLIAVPVTSDRELRITLNSLKAVGKNINGNIDVLLDSGTTITYLQQDVAQDIIDAFQAELKSDGQGHTFYVTDCQTSGTVDFNFDNNAKISVPASEFTAPLSYANGQPYPKCQLLLGISDANILGDNFLRSAYLVYDLDDDKISLAQVKYTSASNIAALT