P9WML3 AF NFT

Uncharacterized HIT-like protein Rv0759c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3t5mq3a4wowabeponti7yohs5bujpwgf4us6xungf6j74xoqkui/metadata.json
IPFS of structure file: 
bafybeig63jldp73h4gimhg5kdzoas3jo4npq3r67yo7wsxwvns5rryssdq/AF-P9WML3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfA9E55a3C2F78504f3a636E1aE6CC93EFb2e497A
First NFT owner address (bech32): 
genesis1l209tg7z77zsfuaxxms6umxf8majujt6wsmrp0
Current NFT ID #531318 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531318
Accession (UniProt):
P9WML3
Name::
Uncharacterized HIT-like protein Rv0759c
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 P9WML3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WML3|YHI1_MYCTU Uncharacterized HIT-like protein Rv0759c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0759c PE=1 SV=1 MSIFTKIINRELPGRFVYEDDDVVAFLTIEPMTQGHTLVVPRAEIDHWQNVDPALFGRVMSVSQLIGKAVCRAFSTQRAGMIIAGLEVPHLHIHVFPTRSLSDFGFANVDRNPSPGSLDEAQAKIRAALAQLA