Q5ACZ2 AF NFT

Mannan endo-1,6-alpha-mannosidase DFG5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjlcrced3eo6umieb5arzz35gujs2aqvachvlp2l7angtxttarl4/metadata.json
IPFS of structure file: 
bafybeiguf7nn3fdtyovu3e4ytnyyzgoyujm425ryxy27z64uxn5vbx3ie4/AF-Q5ACZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #96635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
96635
Accession (UniProt):
Q5ACZ2
Name::
Mannan endo-1,6-alpha-mannosidase DFG5
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 Q5ACZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ACZ2|DFG5_CANAL Mannan endo-1,6-alpha-mannosidase DFG5 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=DFG5 PE=1 SV=1 MVSLQQLTISILLLFTASVQSLDINVDDKDSICSAAKYVVQGIWNYYEGLKYGGTVGMFAPPNYWWNAGEAFGGLVDFYTYCQSDNSTLEKLIYNGMYHQAGENYNYIPSNQSMTEGNDDQGVWGMAIMEAVERNFTEPESHSWLEMVQAVFNTMNARWDADNCGGGLRWQIFTWNSGYDYKNSISNGCLFHLAARLARYTGNSSVYVDTAEKVWKWMEDVGFLTEEDNGDVRIYDGAKITNNCSSVTDLRWSYTYGVFMAGCAYLYNFTGDDVWLTRTNEIVQASLSYFFANKIMQETTCQPQNKCNNDQRSFRCLFSRCLGLTTQLAPETKDRIREVLEASAEGAAKSCSGGSDGVTCGENWAIDKWDGVYGLGEQTSALEVMMALIVEPPLSVKTGGTNRTDYSAGTNSEDNANKNELTITGKDKAGAGVLTAIVLAVILGGAIWMIF