P9WKS2 AF NFT

Uncharacterized protein MT0763

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbylaefeal6zijtzm4g4moufmm7ldsuz57nmodw65levbhko236a/metadata.json
IPFS of structure file: 
bafybeief7b5rzdiv7apn4et663gqnrfc3dtw2j4lkk5akix7aiu7uyhs2a/AF-P9WKS2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #521324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521324
Accession (UniProt):
P9WKS2
Name::
Uncharacterized protein MT0763
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 P9WKS2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKS2|Y738_MYCTO Uncharacterized protein MT0763 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0763 PE=4 SV=1 MDPLMAHQRAQDAFAALLANVRADQLGGPTPCSEWTINDLIEHVVGGNEQVGRWAASPIEPPARPDGLVAAHQAAAAVAHEIFAAPGGMSATFKLPLGEVPGQVFIGLRTTDVLTHAWDLAAATGQSTDLDPELAVERLAAARALVGPQFRGPGKPFADEKPCPRERPPADQLAAFLGRTVR