E3PVH7 AF NFT

2-isopropylmalate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7g7prr65vahdkjbsrspbf6ugt3a75rm3j2xw3o7ez67mklscz64/metadata.json
IPFS of structure file: 
bafybeifzexjd7czatyvaucioxybgzgbs5ncj426qdawccdciep66td2w7m/AF-E3PVH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd5D50E4286b9B87C5dF2784072003f42A40e81AA
First NFT owner address (bech32): 
genesis16h2sus5xhxu8ch0j0pq8yqplg2jqaqd22lqvnh
Current NFT ID #210046 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
210046
Accession (UniProt):
E3PVH7
Name::
2-isopropylmalate synthase
Experimental Method:
Predicted structure
Sequence source:
Acetoanaerobium sticklandii (strain ATCC 12662 / DSM 519 / JCM 1433 / CCUG 9281 / NCIMB 10654 / HF)

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 E3PVH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E3PVH7|LEU1_ACESD 2-isopropylmalate synthase OS=Acetoanaerobium sticklandii (strain ATCC 12662 / DSM 519 / JCM 1433 / CCUG 9281 / NCIMB 10654 / HF) OX=499177 GN=leuA PE=3 SV=1 MNYKKYKGYETIVLEDRNWPSRKIEKAPQWCSVDLRDGNQALITPMGLKQKLRFFEYLVKMGFKTIEIGFPAASDTEYEFTRTLIEEGYIPEDVTIQVLTQSRIQIINKTFEALKGTKNAVVHLYNSTSTLQREVVFRNSKEETIELAVFGARAIKELALKNPETNFTFEYSPESFTGTEMDFAAEICNSVIDVWKPTKDKKVIINLPSTVEMATPNTYADQIEYMCRNLKSRENIIVSLHAHNDRGTGVAATELGLMAGADRVEGTLFGNGERTGNADILNLGMNLYTQGINPELDFSDINSMIEIYEESTAMNVHPRHPYAGDLVFTAFSGSHQDAIKKGMARMNKQAQYWEVPYLPLDPKDIGKSYEPIIRINSQSGKGGVSFILEQNYGLYIPKDFQKDAGRVITAYSDKMQTEIGAEEIYEVFLNEYVDIRTPLQLNYHKTQSVDSDWDLVFIEAEIEYNMQKHYVQAEGNGVVSAFCNSLKEIIGMDIDIVDYRGHSMEYGTKAKAISYIELKNETGERFYGAGTSSSVGKSSLRAVVSAINKMILAQQTKDMDTQEEDIA