Q8FTD0 AF NFT

L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgehpgy5vyrguiihbo5ml2ecfwnmsg6lyntmi4ycgw4k6erznv6a/metadata.json
IPFS of structure file: 
bafybeieg3ppg7obw7g4qjwauhldp3f5emhfxw47vw6rcyzk3uqul6m43ge/AF-Q8FTD0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #245215 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
245215
Accession (UniProt):
Q8FTD0
Name::
L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395)

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 Q8FTD0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FTD0|MSHC_COREF L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase OS=Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395) OX=196164 GN=mshC PE=3 SV=1 MHSWPTPDIPALDGTPVPLALYDTADQQVKPVEVPPSGSGTPVGMYVCGITPYDSTHLGHAATYLAFDLIYRVLLDNDHQVHYVQNITDVDDPLFERAERDGVDWRELGTSQIDLFRKDMETLAVIPPKDYIGAIESIDEVIEMVSTLLEEGAAYVVDDPEYPDVYASINATENFGYESNYDAATMAELFAERGGDPDRPGKRNPMDALLWRAAREGEPSWESPFGPGRPGWHIECSAIATNRLGHSFDIQGGGSDLMFPHHEFSAAHAEAAHGVERMAKHYVHAGMISQDGVKMSKSLGNLEFVHRLTAAGHEPGAIRLGVYAHHYRGDRDWSDEILAAAEARLALWRSAITVATDVQAAVDAVAQLRTHLSNDLDTPAALAAVDAWAEAALKDTGNVSDTADQFDTPEFTPAGRILAAAVDALLGVRL