P9WGQ3 AF NFT

Uncharacterized oxidoreductase Rv1714

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafswwa3wz5gq6j2bmq4vjbqjjtucehqbkinax2xvpwlzudrycaaq/metadata.json
IPFS of structure file: 
bafybeic5hmvufkehq6riafsnmb6afdrlzt35zn3f6iyp5e253c4rjub4lq/AF-P9WGQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #508894 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
508894
Accession (UniProt):
P9WGQ3
Name::
Uncharacterized oxidoreductase Rv1714
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 P9WGQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGQ3|Y1714_MYCTU Uncharacterized oxidoreductase Rv1714 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1714 PE=3 SV=1 MEEMALAQQVPNLGLARFSVQDKSILITGATGSLGRVAARALADAGARLTLAGGNSAGLAELVNGAGIDDAAVVTCRPDSLADAQQMVEAALGRYGRLDGVLVASGSNHVAPITEMAVEDFDAVMDANVRGAWLVCRAAGRVLLEQGQGGSVVLVSSVRGGLGNAAGYSAYCPSKAGTDLLAKTLAAEWGGHGIRVNALAPTVFRSAVTEWMFTDDPKGRATREAMLARIPLRRFAEPEDFVGALIYLLSDASSFYTGQVMYLDGGYTAC