P9WKP0 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein MT0967

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifwshniyukp67frrhfmdnueiohh3eqvav7l3van6vqnczotsm244u/metadata.json

IPFS of structure file:

bafybeievkjathmbmw7xjfln2cwlv4xnqj5y6f2egmhhxoqfn6tvknqenti/AF-P9WKP0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835

First NFT owner address (bech32):

genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9

Current NFT ID #523001 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523001
Accession (UniProt):
P9WKP0
Name::
Uncharacterized protein MT0967
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 P9WKP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKP0|Y940_MYCTO Uncharacterized protein MT0967 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0967 PE=4 SV=1 MRFSYAEAMTDFTFYIPLAKAAEAAGYSSMTIPDSIAYPFESDSKYPYTPDGNREFMDGKPFIETFVLTAALGAVTTRLRFNFFVLKLPIRPPALVAKQAGSLAALIGNRVGLGVGTSPWPEDYELMGVPFAKRGKRIDECIEIVRGLTTGDYFEFHGEFYDIPKTKMTPAPTQPIPILVGGHADAALRRAARADGWMHGGGDPDELDRLIARVKRLREEAGKTSPFEIHVISLDGFTVDGVKRLEDKGVTDVIVGFRVPYTMGPDTEPLQTKIRNLEMFAENVIAKV