P9WMA2 AF NFT

Uncharacterized protein MT0013

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihshicnitykkn2jxssg3hppffewvl5hf4y73zyfskjvmutooigieu/metadata.json
IPFS of structure file: 
bafybeigjvojm72zudefi5ugdahkvfwu4x62jvthe7yziu6ml5e4cgv56x4/AF-P9WMA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #502668 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502668
Accession (UniProt):
P9WMA2
Name::
Uncharacterized protein MT0013
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 P9WMA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMA2|Y010_MYCTO Uncharacterized protein MT0013 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0013 PE=4 SV=1 MQQTAWAPRTSGIAGCGAGGVVMAIASVTLVTDTPGRVLTGVAALGLILFASATWRARPRLAITPDGLAIRGWFRTQLLRHSNIKIIRIDEFRRYGRLVRLLEIETVSGGLLILSRWDLGTDPVEVLDALTAAGYAGRGQR