Q1GTW7 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifioapjrz5cwk3apiobwl5t3al2rtphjydjiaq66xzg2juzoacz4q/metadata.json
IPFS of structure file: 
bafybeiaiiqcexlkiaswc26neulhefqr4xeu4b5ay2bcuopkjm5bkdnvgpy/AF-Q1GTW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd7BceDA0b55dbEde1C94d30aA0d6409be898E5bF
First NFT owner address (bech32): 
genesis1677wmg94tkldu8y56v92p4jqn05f3edleu47mg
Current NFT ID #189353 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
189353
Accession (UniProt):
Q1GTW7
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
SPHINGOPYXIS ALASKENSIS (STRAIN DSM 13593 / LMG 18877 / RB2256)

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 Q1GTW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1GTW7|ILVD_SPHAL Dihydroxy-acid dehydratase OS=Sphingopyxis alaskensis (strain DSM 13593 / LMG 18877 / RB2256) OX=317655 GN=ilvD PE=3 SV=1 MPSYRSRTTTHGRNMAGARGLWRATGMKDSDFGKPIIAVVNSFTQFVPGHVHLKDLGQMVAREIEAAGGVAKEFNTIAVDDGIAMGHDGMLYSLPSRDLIADSVEYMVNAHCADAMVCISNCDKITPGMLMAALRINIPVVFVSGGPMEAGKVVLKGKEVALDLVDAMVAAADEKYSDEEVLAIEQAACPTCGSCSGMFTANSMNCLTEALGLSLPGNGSTLATHADRKELFLRAGRIVVEMCRRHYEEGDDSVLPRNIATFEAFENAMSLDIAMGGSTNTVLHLLAAAHEAGVDFTMEDIDRLSRRVPCLSKVAPAKSDVHMEDVHRAGGIMAILGELDRAGLLHAHLPTVHSATLGDALNKWDIARTNDPEVQKFFMAAPGGVPTQTAFSQARRWDSLDLDRISGVIRSADHAFSKDGGLAVLSGNVAPDGCIVKTAGVDESILKFSGPAKVFESQDAAVAGILTGQVEAGDVVVIRYEGPKGGPGMQEMLYPTSYLKSKGLGAACALVTDGRFSGGTSGLSIGHVSPEAAEGGTIGLVENGDLINIDIPSRTITLAVADSVLAERRAAMEAKGDAAWQPAKPRPRKVSVALQAYAAMTTSAARGAVRDLSQLKGKG