B9WC12 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6ea3zi7tzcassv7hvzgcina5wohqcdyr45yyk3ncyw7iiu6w24m/metadata.json
IPFS of structure file: 
bafybeibu3glbf3xlgkh5lbkzmn52e6dmdaznrbbcibbababd3rzfbmqvom/AF-B9WC12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
557
Accession (UniProt):
B9WC12
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841)

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 B9WC12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9WC12|3DHQ_CANDC Catabolic 3-dehydroquinase OS=Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841) OX=573826 GN=DQD1 PE=3 SV=1 MVKKVLLINGPNLNLLGTREPEKYGTTSLSDIEQAAIEQAKLKKNDSEVLTFQSNTEGFIIDRIHEAKRQGVGFVVINAGAYTHTSVGIRDALLGTAIPFIEVHITNVHQREPFRHQSYLSDKAVAVICGLGVYGYTAAIEYALNY