Q88D03 AF NFT

Glucans biosynthesis protein G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxnxgsvijbhdxg4yqx5s76i6l2ezx5gjbyuafe6snrjdgfgfq5yq/metadata.json
IPFS of structure file: 
bafybeigwpn6u6rvkcdiq4ad2x4kkzrjpisfbiifc5tbodgvtcza2sqt5ku/AF-Q88D03-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe9087b4D2Dbe42150dd056Cf60524296F5E4c09F
First NFT owner address (bech32): 
genesis1ayy8knfdhepp2rws2m8kq5jzjm67fsylu0erax
Current NFT ID #281638 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
281638
Accession (UniProt):
Q88D03
Name::
Glucans biosynthesis protein G
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440)

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 Q88D03 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88D03|OPGG_PSEPK Glucans biosynthesis protein G OS=Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440) OX=160488 GN=opgG PE=3 SV=1 MASVALVGLMSAGQLWAFNLDDVAAKAKDLAGQKYEAPKSNLPAVFRDMKFADYQKIRFLQEKAEWAKDKTPFKLSFYHQGMHFDTPVKINEVTATKVEEIKYDPDRFEFGDVPHDPETTKNLGYAGFRVLYPINKADKQDEIMTLLGASYFRVVGKGHVYGLSARGLAIDTALPSGEEFPRFTEFWVEKPKPADKHLVIYALLDSPRSTGAYKLTLRPGNDTVVDVQSRVFLRDHVSRLGIAPLTSMYLFGPNQPSKVLNYRPALHDSEGLSIHAGNGEWLWRPLNNPKHLAVSNFSVENPRGFGLMQRQRAFSDYEDLDDNYQKRPSAWIEPKGDWGKGSVDLVEIPTADETNDNIVAFWSPEKLPEPGKPFEYAYRLHWTIDEPKFQAPDLGWVKQTLRSTGDVKQSNLIRQPDGSVAFLVDFAGPALAALPEDAAVRSQISVGDNAEVVENNLRYNPETKGWRLTLRLKVKEANKSTEMRAALVRDVPVEPAKPAQDAKQDKAAAKHAKAEKAVKAEQSAKAEQPAADAAPTNGALATTEKVLTETWSYQLPADE