P9WN64 AF NFT

dTDP-glucose 4,6-dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzqjkmgfv4jxoqmgy4rkxc6oik4nlu6ej5uh7yya5mtwumsy74qi/metadata.json
IPFS of structure file: 
bafybeifco3xezjkg3rg33yrfzknnpqdu277ihwdjyof7vox3yhpkunzxzi/AF-P9WN64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1Ce155A2258661A2eA50795DE5b0318ee956a5A1
First NFT owner address (bech32): 
genesis1rns4tg39ses696js09w7tvp33m54dfdpvaghpx
Current NFT ID #379543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
379543
Accession (UniProt):
P9WN64
Name::
dTDP-glucose 4,6-dehydratase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WN64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WN64|RMLB_MYCTO dTDP-glucose 4,6-dehydratase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rmlB PE=3 SV=1 MRLLVTGGAGFIGTNFVHSAVREHPDDAVTVLDALTYAGRRESLADVEDAIRLVQGDITDAELVSQLVAESDAVVHFAAESHVDNALDNPEPFLHTNVIGTFTILEAVRRHGVRLHHISTDEVYGDLELDDRARFTESTPYNPSSPYSATKAGADMLVRAWVRSYGVRATISNCSNNYGPYQHVEKFIPRQITNVLTGRRPKLYGAGANVRDWIHVDDHNSAVRRILDRGRIGRTYLISSEGERDNLTVLRTLLRLMDRDPDDFDHVTDRVGHDLRYAIDPSTLYDELCWAPKHTDFEEGLRTTIDWYRDNESWWRPLKDATEARYQERGQ