A0L8Q3 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapmexvj6effialpi5cy6fe2mxeewiawjrezknukkzfybq2gahj2a/metadata.json
IPFS of structure file: 
bafybeici3m65qcppvunrpy6zejnse2gongjhovpsxzrmss7odeh7w32wkq/AF-A0L8Q3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDACF305FCe4816f43243c916E3ef2B4521833de4
First NFT owner address (bech32): 
genesis1mt8nqh7wfqt0gvjreytw8metg5scx00yf6axss
Current NFT ID #189169 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
189169
Accession (UniProt):
A0L8Q3
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
MAGNETOCOCCUS MARINUS (STRAIN ATCC BAA-1437 / JCM 17883 / MC-1)

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 A0L8Q3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0L8Q3|ILVD_MAGMM Dihydroxy-acid dehydratase OS=Magnetococcus marinus (strain ATCC BAA-1437 / JCM 17883 / MC-1) OX=156889 GN=ilvD PE=3 SV=1 MPQYRSRTSTHGRNMAGARALWRATGIKEEDFGKPIIAVANSFTQFVPGHVHLREVGKLVAEEIEACGAIAKEFNTIAVDDGIAMGHGGMLYSLPSRDIIADSVEYMCNAHTADALICISNCDKITPGMLMAALRLNIPTVFVSGGPMEAGKVRLTDGTARKVDLIDSMIAAGNSAVSSEDLERYERSSCPTCGSCSGMFTANSMNCLTEALGLSLPGNGTVLATHTARKKLFLDGAKRIVELTRRFYEQDDVSALPRSIATFAAFENAMVLDIAMGGSTNTVLHLLAAAREAEVNFTMADIDRLSRGVPCLCKVAPSTEKYHVEDVHRAGGVFSILGELNRIGLINDHCLTVHAPNMAEALKKEDIVSPQVTEEALTRCYAAPGGIPTIEPYSQSARWESLDDDRVDGCIRGGEHAYSKDGGLAILFGNIAQDGCIVKTAGVDESVWCFTGPARIFHSQDEACDAILADQIKAGDVVLIRYEGPKGGPGMQEMLYPTSFLKSKGLGKACALITDGRFSGGTSGLSIGHCSPEAAQGGAIGLVEEGDLIEIDIPNRLLQVKLSDAQLAERRQAMLARGNEAFKPVGRQRVVSKALQAYAALTTSAAEGAVRNLEQIHIKRD