Q9W3K5 AF NFT

Glutamate--cysteine ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmmzzlbkdqhvfzwpqvebialg23zd4m7ci4i4eoeysckb47gve3ky/metadata.json
IPFS of structure file: 
bafybeidzhlwiacxvhkpumvjitwb22fsqasmwm23w7f5m6bwxd6me2zphdi/AF-Q9W3K5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22CFf5AD68574D6C78Cf81F16f827340AcaF1007
First NFT owner address (bech32): 
genesis1yt8ltttg2axkc7x0s8cklqnngzk27yq8uwm0hk
Current NFT ID #160043 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160043
Accession (UniProt):
Q9W3K5
Name::
Glutamate--cysteine ligase
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9W3K5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W3K5|GSH1_DROME Glutamate--cysteine ligase OS=Drosophila melanogaster OX=7227 GN=Gclc PE=2 SV=1 MGLLSEGSPLSWEETKALADHVREHGVNQFINLYHRLKDRQGDILKWGDEVEYIIVKFDDEQKVARVALRAQDLLAQLNEKELADPNGVKSLWRPEYGAYMIEGTPGKPFGGLMAHFNLVEANMRYRREEVTELLAKDECVMSITNFPRLGAPNFTYPLAQPRPEDPLSSARSLYFPDEAIFPGHPRFKTLTRNIRKRRGEKVSIKLKVFKDTKTKLPVEGAPPGEPDVVLLDAMGFGMGCCCLQLTFQACNITEARRLYDQLAPLCPIMLALTAASPIYRGYLTESDCRWNVISSSVDCRTEEERGLAPLDQQKFRIAKSRYDSIDSYLSPEGAKYNDVPLTYDEKVYQRLVEGGIDHLLAQHVAHLFIRDTVSLFSEKVHQNDNEDTDHFENIQSTNWQTMRFKPPPPNSSIGWRVEFRPCEAQISDFENAAIVCFVVLLTRVILSYQLNFLTPISKVDENMQTAQKRDACRKEKFWFRKSSKTTEQRAAKAQAQAQAQAKAQAQTNGKATLNGNGLANGNGNGSENSDQEEQQPLTNGSAKMNGHGSGTTNGTNGSSNGSSNGTDSDHTDTDDEENELFQLLSINEIFNGKPNVFPGLVPLIRSYLQSMEVDTDTHCTIEQYLRFIQKRAAGELITTATWMREQVLSHPDYKQDSVVSERINYDLLKRIQGIQEGKQVEPALLGQDYHSKTKTKDFIPPALQKQLAKNGCCEEK