B2GLR9 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5l5xygx2d6e546vyklbgpwaocebclknt3d2khmjgea26k5a6xyy/metadata.json
IPFS of structure file: 
bafybeickhtvxd6wek6r3v54qwezom4z7ytd7vhq7y53auoskxc2j2vrz4y/AF-B2GLR9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81Cb9D6826c494c4199378382c6Eb30Ba05CC2C7
First NFT owner address (bech32): 
genesis1s89e66pxcj2vgxvn0quzcm4npws9esk8ssr8zr
Current NFT ID #189148 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
189148
Accession (UniProt):
B2GLR9
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
Kocuria rhizophila (strain ATCC 9341 / DSM 348 / NBRC 103217 / DC2201)

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 B2GLR9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2GLR9|ILVD_KOCRD Dihydroxy-acid dehydratase OS=Kocuria rhizophila (strain ATCC 9341 / DSM 348 / NBRC 103217 / DC2201) OX=378753 GN=ilvD PE=3 SV=1 MPQLRSATSTTGRNMAGARALWRATGMGSEDFGKPIVAIANSFTQFVPGHVHLKNMGELVASAVQEAGGVAKEFNTIAVDDGIAMGHDGMLYSLPSRDIIADSVEYMVNAHCADALVCISNCDKITPGMLMAALRLNIPVVFVSGGPMESGEGVEGVVEHRVDLVDAMSLAVDESVTDAQLAQIEENACPTCGSCSGMFTANSMNCLTEALGLSLPGNGTTLATHVNRKRLFLEAGRRAVESAKKYYEQDDESVLPRSIATKAAFENAMALDIAMGGSTNTVLHILAAAQEAEVDFNLSDIDALSRQVPCLAKVAPNSTTFHIEHVHRAGGIPAILGELRRGGLLNEDVHTVHSQTMGEWLDEWDIRSGKASDAAKEFFLAAPGGVRTTQAFSQANEYEDHDVDAAGGCIRSVEHAYTKEGGLCVLFGNIAEDGAVIKTAGIDPELFHFTGRAFVVESQDEAVHEILSKNVKEGDIVVIAYEGPKGGPGMQEMLYPTSYLKGLGLGKKCALITDGRFSGGTSGLSIGHISPEAAAGGAVGLVQHGDEIEIDVENRVLRVNVDDAELARRRQEKGDAPWKPTKPRERRVSKALKAYASMVTSADKGAVRVVED