Q32E76 AF NFT

Glucans biosynthesis protein G

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie7xhwuw4srnoecyqegwz6sbtjsiawp63pfrde7572zmtbxcb2e74/metadata.json

IPFS of structure file:

bafybeigpryrhm3t72ryq722gae6zhjmdumrkwsuqnz7jpymqqfsqv526ci/AF-Q32E76-F1-model_v2.pdb

First NFT owner address (eip-55):

0xCe798D8eC2d4C6C1A5c2B7B7212A387006233F43

First NFT owner address (bech32):

genesis1eeucmrkz6nrvrfwzk7mjz23cwqrzx06rthukqv

Current NFT ID #281664 owner (web3):

0x407F95e705Dc2c05f8619606Ca4E9f2a932659E6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
281664
Accession (UniProt):
Q32E76
Name::
Glucans biosynthesis protein G
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32E76 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32E76|OPGG_SHIDS Glucans biosynthesis protein G OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=mdoG PE=3 SV=1 MMKMRWLSAAVMLTLYTSSSWAFSIDDVAKQAQSLAGKGYEAPKSNLPSVFRDMKYADYQQIQFNHDKAYWNNLKTPFKLEFYHQGMYFDTPVKINEVTATAVKRIKYSPDYFTFGDVRHDKDTVKDLGFAGFKVLYPINSKDKNDEIVSMLGASYFRVIGAGQVYGLSARGLAIDTALPSGEEFPRFKEFWIERPKPTDKRLTIYALLDSPRATGAYKFVVMPGRDTVVDVQSKIYLRDKVGKLGVAPLTSMFLFGPNQPSPANNYRPELHDSNGLSIHAGNGEWIWRPLNNPKHLAVSSFSMENPQGFGLLQRGRDFSRFEDLDDRYDLRPSAWVTPKGEWGKGSVELVEIPTNDETNDNIVAYWTPDQLPEPGKEMNFKYTITFSRDEDKLHAPDNAWVQQTRRSTGDVKQSNLIRQPDGTIAFVVDFTGAEMKKLPEDTPVTAQTSIGDNGEIVESTVRYNPVTKGWRLVMRVKVKDAKKTTEMRAALVNADQTLSETWSYQLPANE

MOLNFT AF v1_w

NFT data

MOLNFT Q32E76 research and analysis (ICN3D with VR)

FASTA sequences

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