P9WL50 AF NFT

Uncharacterized protein MT2723

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic75vyor7dbng25cvpvpsrn3oxn4rpr5v4mvo27skjhjqdjhwndre/metadata.json
IPFS of structure file: 
bafybeifwvfztjo5bn5y6wjsj4b2ojtwt4sk6lxcnnvhhd2bodxrffc2nuy/AF-P9WL50-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC0f5cbbADD874269E5C27dE8258432D46a904ac7
First NFT owner address (bech32): 
genesis1cr6uhwkasapxnewz0h5ztppj634fqjk8n2xjps
Current NFT ID #513169 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513169
Accession (UniProt):
P9WL50
Name::
Uncharacterized protein MT2723
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 P9WL50 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WL50|Y2645_MYCTO Uncharacterized protein MT2723 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2723 PE=4 SV=1 MTTTPRQPLFCAHADTNGDPGRCACGQQLADVGPATPPPPWCEPGTEPIWEQLTERYGGVTICQWTRYFPAGDPVAADVWIAADDRVVDGRVLRTQPAIHYTEPPVLGIGPAAARRLAAELLNAADTLDDGRRQLDDLGEHRR