Q5AMF7 AF NFT

Predicted GPI-anchored protein 57

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2jj6bihywp3pnamtirfgznp3nlcnbzzlp4fsd7ij3bpqiw2qsa4/metadata.json
IPFS of structure file: 
bafybeiavaxwqpetutvp4d6ccbmj6kwdnpmqy27hch6gttmxo634uikjn4m/AF-Q5AMF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x87D975c08088e1c205820Eb73C9C018e87928A3B
First NFT owner address (bech32): 
genesis1slvhtsyq3rsuypvzp6mne8qp36re9z3mm5tma9
Current NFT ID #296012 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
296012
Accession (UniProt):
Q5AMF7
Name::
Predicted GPI-anchored protein 57
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q5AMF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AMF7|PGA57_CANAL Predicted GPI-anchored protein 57 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=PGA57 PE=1 SV=1 MLFTQLIILFTFISQIICVSISDLNNIALIQFTKRRGSSGHSSGGGHSSSGSHSSGGGHSSSGSSSSGSKGGGSSSGSSSGSSSGTKGGGSSSGSSSGSRNWGSNQYHCTGNSCGYGNYFAPSAAAAAVGYGTGRYTGGTKYGNNQYHCSGSTCGYGNYYAPTAASAAAGYGSARYAGQHNNSTSTKTSFGVSLNIPSTHFYVIGLAAAYSIVL