P9WN65 AF NFT

dTDP-glucose 4,6-dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibaeal3f3joq3s3hafn3oqq32ycx4ocl7t4ae74q2r6ssxqwcsbby/metadata.json
IPFS of structure file: 
bafybeiav7tfheylqrp3n46zlkquwjyvxubaiwkrorczqh3skejnqw2axdy/AF-P9WN65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf9BD33f98eaEF245525fFf103d2CCb61Dcb4e196
First NFT owner address (bech32): 
genesis1lx7n87vw4mey25jllugr6txtv8wtfcvkgl3p35
Current NFT ID #379544 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
379544
Accession (UniProt):
P9WN65
Name::
dTDP-glucose 4,6-dehydratase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WN65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WN65|RMLB_MYCTU dTDP-glucose 4,6-dehydratase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=rmlB PE=1 SV=1 MRLLVTGGAGFIGTNFVHSAVREHPDDAVTVLDALTYAGRRESLADVEDAIRLVQGDITDAELVSQLVAESDAVVHFAAESHVDNALDNPEPFLHTNVIGTFTILEAVRRHGVRLHHISTDEVYGDLELDDRARFTESTPYNPSSPYSATKAGADMLVRAWVRSYGVRATISNCSNNYGPYQHVEKFIPRQITNVLTGRRPKLYGAGANVRDWIHVDDHNSAVRRILDRGRIGRTYLISSEGERDNLTVLRTLLRLMDRDPDDFDHVTDRVGHDLRYAIDPSTLYDELCWAPKHTDFEEGLRTTIDWYRDNESWWRPLKDATEARYQERGQ