Q00663 AF NFT

Candidapepsin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjw5jttowxudsxntjschm3sts75zxjmzw7xzyt3fnlgg6auxggo4/metadata.json
IPFS of structure file: 
bafybeigrv6lyj4vvheaohwjafatzz77q2pafz3xl5aqbgsozdv3boe67ye/AF-Q00663-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd6dAC69607350B6653b5aBcE7c26e6D0Da978570
First NFT owner address (bech32): 
genesis16mdvd9s8x59kv5a44088cfhx6rdf0pts9ha0pc
Current NFT ID #51312 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
51312
Accession (UniProt):
Q00663
Name::
Candidapepsin
Experimental Method:
Predicted structure
Sequence source:
CANDIDA TROPICALIS

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 Q00663 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q00663|CARP_CANTR Candidapepsin OS=Candida tropicalis OX=5482 GN=SAPT1 PE=1 SV=1 MATIFLFTKNVFIALAFALFAQGLTIPDGIEKRTDKVVSLDFTVIRKPFNATAHRLIQKRSDVPTTLINEGPSYAADIVVGSNQQKQTVVIDTGSSDLWVVDTDAECQVTYSGQTNNFCKQEGTFDPSSSSSAQNLNQDFSIEYGDLTSSQGSFYKDTVGFGGISIKNQQFADVTTTSVDQGIMGIGFTAVEAGYNLYSNVPVTLKKQGIINKNAYSCDLNSEDASTGKIIFGGVDNAKYTGTLTALPVTSSVELRVHLGSINFDGTSVSTNADVVLDSGTTITYFSQSTADKFARIVGATWDSRNEIYRLPSCDLSGDAVVNFDQGVKITVPLSELILKDSDSSICYFGISRNDANILGDNFLRRAYIVYDLDDKTISLAQVKYTSSSDISAL