A1TAS3 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: 
bafybeif7z2c27dk753xfcavs4dwhrs6bkcfi3jug6qwbpxcha5kfjdgkz4/metadata.json
IPFS of structure file: 
bafybeianwttltfhiyzybwcctug7bsbhnet2zbltxkktrefsq7m2wlpdfiu/AF-A1TAS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F96E7ECD556d5E02BecEf6eBE49253734162c59
First NFT owner address (bech32): 
genesis1d7tw0mx42m27q2lvaahtujf9xu6pvtzefut483
Current NFT ID #245251 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
245251
Accession (UniProt):
A1TAS3
Name::
L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase
Experimental Method:
Predicted structure
Sequence source:
Mycolicibacterium vanbaalenii (strain DSM 7251 / JCM 13017 / BCRC 16820 / KCTC 9966 / NRRL B-24157 / PYR-1)

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 A1TAS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1TAS3|MSHC_MYCVP L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase OS=Mycolicibacterium vanbaalenii (strain DSM 7251 / JCM 13017 / BCRC 16820 / KCTC 9966 / NRRL B-24157 / PYR-1) OX=350058 GN=mshC PE=3 SV=1 MNQPSDLSHTSMSRVEAMHSWSAPNVPALPGRGPQLRLYDSADRQVRPVAPGATATMYVCGITPYDATHLGHAATYLTFDLVHRLWRDSGHDVHYVQNITDVDDPLFERAQRDGIGWRELGDRETELFREDMAALRVLPPRDYVAATEAIAEVVELVEKMLAAGAAYVVDDPQYPDVYFRADATVQFGYESGYDRDTMLALFAERGGDPDRPGKSDPLDALLWLAERPGEPSWPSPFGPGRPGWHVECAAIALSRIGTGLDIQGGGSDLIFPHHEFSAAHAECVTGERRFARHYVHAGMIGWDGHKMSKSRGNLVLVSQLRRDGVDPAAIRLGLFAGHYRDDRFWSPAVLDEALARLHRWRSATALAGAPDATDVVARVRRYLADDLDTPKALAALDGWATDALTYGGHDATAGTTVATAVDALLGIAL