P32950 AF NFT

Candidapepsin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigo5baqmh4h6bzzfmguvybyvmbqdb4pdjbumvzyvoaqtl4huaey44/metadata.json
IPFS of structure file: 
bafybeifquueiwla7xpj4uitx7ijcphlzkcm47nq73fab4p4vv2j2c5kbdy/AF-P32950-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd3D09c70A651Fc18Cc83B08E783c20f3249a5Be2
First NFT owner address (bech32): 
genesis160gfcu9x287p3nyrkz88s0pq7vjf5klz9ap3ln
Current NFT ID #51289 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
51289
Accession (UniProt):
P32950
Name::
Candidapepsin-2
Experimental Method:
Predicted structure
Sequence source:
CANDIDA PARAPSILOSIS

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 P32950 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P32950|CARP2_CANPA Candidapepsin-2 OS=Candida parapsilosis OX=5480 GN=SAPP2 PE=1 SV=1 MTTIAIFTKNVLLAIAFALFAQGAAIPDPAKRDDNPGFVALDFEVTRKPLDVNATSELSKRSSPSSPLYFEGPSYGIRVSVGSNKQEQQVVLDTGSSDFWVVDSSASCQKGNCKQYGTFDPHSSTSFKSLGSSFRSIGYGDKSSSIGTWGQDTIYLGGTSITNQRFADVTSTSVNQGILGVGRVETESANPPYDNVPITLKKQGKIKTNAYSLYLNSPGAATGTIIFGGVDNAKYSGKLIEEPLVSDRYLAVNLKSLNYNGDNSNAGFGVVVDSGTTISYLPDSIVNDLANKVGAYLEPVGLGNELYFIDCNANPQGSASFTFDNGAKITVPLSEFVLQSTANACVWGLQSSDRQNVPPILGDNFLRHAYAFQLDKETVLSRSGEVHFCLKCFSNLETSIVWKAFFYNRYIQ