P9WQ82 AF NFT

Putative cystathionine beta-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwigaetzw4m2gx2ggmshtn3o5tuwi5vtqgzcxuiedzphi5khws7q/metadata.json
IPFS of structure file: 
bafybeigwkclhgizc3tjzpv2n7ufvtdvdgv34gvrq7jc6edzxwasnbpbz3e/AF-P9WQ82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a472F9414Bedc654E6640D356517d0b0Ec25226
First NFT owner address (bech32): 
genesis13frjl9q5hmwx2nnxgrf4v5tapv8vy53xtchtp4
Current NFT ID #53109 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
53109
Accession (UniProt):
P9WQ82
Name::
Putative cystathionine beta-lyase
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 P9WQ82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQ82|CBL_MYCTO Putative cystathionine beta-lyase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2351 PE=3 SV=1 MIPNPLEELTLEQLRSQRTSMKWRAHPADVLPLWVAEMDVKLPPTVADALRRAIDDGDTGYPYGTEYAEAVREFACQRWQWHDLEVSRTAIVPDVMLGIVEVLRLITDRGDPVIVNSPVYAPFYAFVSHDGRRVIPAPLRGDGRIDLDALQEAFSSARASSGSSGNVAYLLCNPHNPTGSVHTADELRGIAERAQRFGVRVVSDEIHAPLIPSGARFTPYLSVPGAENAFALMSASKAWNLGGLKAALAIAGREAAADLARMPEEVGHGPSHLGVIAHTAAFRTGGNWLDALLRGLDHNRTLLGALVDEHLPGVQYRWPQGTYLAWLDCRELGFDDAASDEMTEGLAVVSDLSGPARWFLDHARVALSSGHVFGIGGAGHVRINFATSRAILIEAVSRMSRSLLERR