P9WLT3 AF NFT

Uncharacterized protein Rv1702cMb1728c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesr7bnqa4c335e6q4l7ztugqclvjk2lbetiygitmp6x25yuwpci4/metadata.json
IPFS of structure file: 
bafybeiesilohttdvby72oudmbxe4tmugnjvddnfluj2qyy2lw34leykhzy/AF-P9WLT3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #508819 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
508819
Accession (UniProt):
P9WLT3
Name::
Uncharacterized protein Rv1702cMb1728c
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 P9WLT3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLT3|Y1702_MYCTU Uncharacterized protein Rv1702cMb1728c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1702c PE=3 SV=1 MYSSSREEAVAAFDNLDTALNRVLKVSPDDLTIPECLAMLQRCEKIRRRLPAAEHPFINKLADQTDQTELGGKLPFALAERLHISRGEASRRIHEAADLGPRRTLTGQPLPPLLTATAAAQRAGHLGPAHVQVIRCFLHQLPHHVDLPTREKAEAELATLGGRFRPDQLHKLATKLADCLNPDGNYNDTDRARRRSIILGNQGPDGMSAISGYLTPEARATVDAVLAKLAAPGMANPADDTPCLAGTPSQAAIEADTRSAGQRHHDGLLAALRALLCSGELGQHNGLPAAIIVSTSLTELQSRAGHALTGGGTLLPMSDVIRLASHANHYLRIFDHGRELALYHTKRLASPGQRIVLYAKDRGCSFPNCDVPGYLTEVHHVTDFAQCQETDINELTQGCGPHHQLATTGGWITRKRKDGTTEWLPPAHLDHGQPRTNSYFHPEKLLHDSDEDDP