Q11NN5 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfipe26p37y56yj4qtp5xwz6y7h3srji7hftkxfhxeedeewag4du/metadata.json
IPFS of structure file: 
bafybeieo3wlhks3abclbihunstltg54ilmvx2g77tjmpzbnckmhd6wtg6y/AF-Q11NN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #189070 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
189070
Accession (UniProt):
Q11NN5
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
Cytophaga hutchinsonii (strain ATCC 33406 / DSM 1761 / CIP 103989 / NBRC 15051 / NCIMB 9469 / D465)

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 Q11NN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q11NN5|ILVD_CYTH3 Dihydroxy-acid dehydratase OS=Cytophaga hutchinsonii (strain ATCC 33406 / DSM 1761 / CIP 103989 / NBRC 15051 / NCIMB 9469 / D465) OX=269798 GN=ilvD PE=3 SV=1 MIIVSTELNKISKRLTQDPSQPASQAMMYGAGFTDEDMKKPIVGIGSTGFDGNTCNMHLNILAGQVKGSITRGGMVGLGFNTIGVSDGISMGTEGMRFSLVSRDVIADSIETICEAHYYDALVTVVGCDKNMPGALIAMARLNRPSIMVYGGTIHSGHYKGEKLNIVSAFEALGKKVAGTITEEDYQGVIKNACPGAGACGGMYTANTMASAIEAMGLTLPYSSTAPATSEKKKAETLALGKAMMHLLEKDIKPRDIMTFEAFENAIRVILVLGGSTNAVMHLIAIAKAAGVKLTIDDFQRIGNTTPLLADLKPSGKYMMEDMDAIGGVPSVMRLLAKHNLLHLDCMTVTGKTVGENLKEAQDLPTDQDLMYAWENPIKQTGHLQILYGNLAPQGSVAKITGKEGTYFEGPARVYDSEEAVNKGLEANEVKSGEVIVIRYVGPKGGPGMPEMLKPTALLMGLGLGNECALITDGRFSGGTHGFVVGHITPEATEGGMIGLVKNGDIIRIDAVNRVLEVKISEEEVTKRRAAWVKPAPRATSGVLYKYMKLVSSASEGCVTDN