P9WH10 AF NFT

dTDP-4-dehydrorhamnose 3,5-epimerase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielyxx5ufb35qulqwru3lv3v5cdfqvz3bxkjmhftudf5k4cz7u4em/metadata.json
IPFS of structure file: 
bafybeid5esqb52rdnuh27tyd3mitqbh4x4bglushjd7uj7rtu3jcw3a3ye/AF-P9WH10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #379559 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
379559
Accession (UniProt):
P9WH10
Name::
dTDP-4-dehydrorhamnose 3,5-epimerase
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 P9WH10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WH10|RMLC_MYCTO dTDP-4-dehydrorhamnose 3,5-epimerase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rmlC PE=3 SV=1 MKARELDVPGAWEITPTIHVDSRGLFFEWLTDHGFRAFAGHSLDVRQVNCSVSSAGVLRGLHFAQLPPSQAKYVTCVSGSVFDVVVDIREGSPTFGRWDSVLLDDQDRRTIYVSEGLAHGFLALQDNSTVMYLCSAEYNPQREHTICATDPTLAVDWPLVDGAAPSLSDRDAAAPSFEDVRASGLLPRWEQTQRFIGEMRGT