Q4K498 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicg2tc7mb2s5cygr45jrymtfyfnhljcarhkbviwjrubmwqlxen6oy/metadata.json
IPFS of structure file: 
bafybeid3nf7czh5vg6v7yrrwadt4fhyaz67c36jdtvjfkfvmc2yda3kxhm/AF-Q4K498-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #189264 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
189264
Accession (UniProt):
Q4K498
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS FLUORESCENS (STRAIN ATCC BAA-477 / NRRL B-23932 / PF-5)

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 Q4K498 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4K498|ILVD_PSEF5 Dihydroxy-acid dehydratase OS=Pseudomonas fluorescens (strain ATCC BAA-477 / NRRL B-23932 / Pf-5) OX=220664 GN=ilvD PE=3 SV=1 MPDYRSKTSTHGRNMAGARALWRATGMKDDDFKKPIIAIANSFTQFVPGHVHLKDLGQLVAREIERAGGVAKEFNTIAVDDGIAMGHDGMLYSLPSREIIADSVEYMVNAHCADAIVCISNCDKITPGMLMAALRLNIPVIFVSGGPMEAGKTKLASHGLDLVDAMVIAADSSASDEKVAEYERSACPTCGSCSGMFTANSMNCLTEALGLALPGNGSTLATHSDREELFLRAGRTIVELCQRYYGDNDESVLPRNIANFKAFENAMTLDIAMGGSTNTILHLLAAAQEAEIDFDLRDIDRLSRHVPQLCKVAPNIQKYHMEDVHRAGGIFSILGELARGGLLHTDLPTVHSKTMAEGIAQWDITQTSDEAVHHFFKAGPAGIPTQTAFSQSTRWDSLDDDRENGCIRSVEHAYSKEGGLAVLYGNIALDGCVVKTAGVDESIHVFEGNAKIFESQDSAVRGILADEVKEGDIVIIRYEGPKGGPGMQEMLYPTSYLKSKGLGKACALLTDGRFSGGTSGLSIGHASPEAAAGGTIGLVQDGDKVLIDIPNRSINLLVSDEELAARRVEQDKKGWKPVEARPRKVTTALKAYALLATSADKGAVRNKAMLDGL