P9WML2 AF NFT

Uncharacterized HIT-like protein MT0784

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdsjrkknbamnvtq7fuz43ggvwhzwunniwb2mwqsizaudxzs4n33u/metadata.json
IPFS of structure file: 
bafybeifba4da2uellbuacuolnv5szcar2gdib7i2n7kw7upytstncu6ljy/AF-P9WML2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #531317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531317
Accession (UniProt):
P9WML2
Name::
Uncharacterized HIT-like protein MT0784
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 P9WML2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WML2|YHI1_MYCTO Uncharacterized HIT-like protein MT0784 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0784 PE=4 SV=1 MSIFTKIINRELPGRFVYEDDDVVAFLTIEPMTQGHTLVVPRAEIDHWQNVDPALFGRVMSVSQLIGKAVCRAFSTQRAGMIIAGLEVPHLHIHVFPTRSLSDFGFANVDRNPSPGSLDEAQAKIRAALAQLA