P9WKM2 AF NFT

Uncharacterized protein MT0993

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibkqssr35vrd3weigauit5lyyjpezkps3dk45tu4qpu2rfxnzn5wi/metadata.json
IPFS of structure file: 
bafybeiakt5va7wztrb66323a5nm2xkh7x3qx4prjjwrmthrm7gp4j2ncbe/AF-P9WKM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #523221 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523221
Accession (UniProt):
P9WKM2
Name::
Uncharacterized protein MT0993
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 P9WKM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKM2|Y965_MYCTO Uncharacterized protein MT0993 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0993 PE=4 SV=1 MRVNRPQCARVPYSAESLVRVEASWYGRTLRAIPEVLSQVGYQQADHGESLLTSHHCCLGAAEGARPGWVGSSAGALSGLLDSWAEASTAHAARIGDHSYGMHLAAVGFAEMEEHNAAALAAVYPTGGGSARCDGVDVS