Q7MYJ5 AF NFT

Dihydroxy-acid dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjgjlyhxvvrua2ah7kkqvch3rz4vpokcpbpgc4mq6rjfepcmd3p4/metadata.json
IPFS of structure file: 
bafybeichyj6sta27oqmqdzmyx5pm6vc2h2yewtets2avd3o2pffuexxluq/AF-Q7MYJ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfd8B03E24e9969155AEbA2145162346906dD6eDB
First NFT owner address (bech32): 
genesis1lk9s8cjwn9532kht5g29zc35dyrd6mkmmwnu7u
Current NFT ID #189237 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
189237
Accession (UniProt):
Q7MYJ5
Name::
Dihydroxy-acid dehydratase
Experimental Method:
Predicted structure
Sequence source:
PHOTORHABDUS LAUMONDII SUBSP. LAUMONDII (STRAIN DSM 15139 / CIP 105565 / TT01)

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 Q7MYJ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MYJ5|ILVD_PHOLL Dihydroxy-acid dehydratase OS=Photorhabdus laumondii subsp. laumondii (strain DSM 15139 / CIP 105565 / TT01) OX=243265 GN=ilvD PE=3 SV=1 MPKYRSATTTHGRNMAGARALWRATGMTDADFGKPIIAVVNSFTQFVPGHVHLRDLGKLVAEQIEASGGVAKEFNTIAVDDGIAMGHGGMLYSLPSRELIADSVEYMVNAHCADAMVCISNCDKITPGMLMAALRLNIPAIFVSGGPMEAGKTKLSDQIIKLDLIDAMIQGANPKVSDEDSNQIERSACPTCGSCSGMFTANSMNCLTEALGLSQPGNGSLLATHADRKALFLNAGKRIVELTKRYYEQNDDSALPRSIATKAAFENAMMLDIAMGGSTNTVLHLLAAAQEGEVDFTMADIDRLSRQIPHLCKVAPSTQKYHMEDVHRAGGVIGILGELDRAGLLNRQVKNVLGLDLLQTLNQYDVMQTVDESVKEMYSAGPAGIRTTQAFSQDCRWPSLDTDRVEGCIRDIEHAYSRDGGLAVLFGNLAIDGCIVKTAGVDEGSLTFRGPAKVYESQEDAVDAILGGKVVAGDVVVIRYEGPKGGPGMQEMLYPTTYLKSVGLGKSCALITDGRFSGGTSGLSIGHVSPEAANGGLIGLVQDGDIIDIDIPLRKIRLDVDERILATRKEVEFARGDKSWTPKARERQVSLALRAYASLATSADKGAVRDKSKLGG