O14115 AF NFT

Triacylglycerol lipase ptl2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfrxh2gtxlgejvs7sbx67666sa3dxza7as45tni3wj6tskj3x2em/metadata.json
IPFS of structure file: 
bafybeibqpxmuhpumgk3cwqsd5yehoxgmpouxykoiq6eu5pynkzr73ogqu4/AF-O14115-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #461975 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
461975
Accession (UniProt):
O14115
Name::
Triacylglycerol lipase ptl2
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 O14115 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O14115|TGL4_SCHPO Triacylglycerol lipase ptl2 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=ptl2 PE=3 SV=2 MSIPEESEINKDYTVQEDLDEFAKYTCVYKKRHDEKIEYITAQHDWNPVYEAVVPRKSKPGKDEKREGFMYPILRWPLMFTAFLCLTFVAFLYLLDRLYINCYEYFIVWRGEARRLRKLLQEAKTYEEWKERARALDKYFGNDEWKLDPVYDYYDYTLVQAVYSSLVKHREQKDWNALKSVLDVCVRSNFGGIDSSMLYSRTYSGTKKLVEDYVNELKVCLETVIDQRLYTAQERSKMFEYFSHNYGRTALCLSGGASFAIYHTGVLRALLNQDLIPNVITGTSGGGLLAALVCTRTNEELKQLLVPELASKYQSDIGNWLDATKRYFRTGARFDEILWAKTCMYFTRGSLTFAEAYKRTGRILNISVIPSDVHSPPKLINYLTSPDTVIWSAVIASCAVPGILNPIPLMTRSQSHRLIPHNFGNRFKDGSLRTDIPLSELRTQFNVHFSIVSQTNPHVQVFFFSPRGTVGRPVSHRKGRGWRGGYVGSAIEQFLKYDMIKWLHVIRSLELLPRPLGTDWSSVFLQKFDGTITIWPKTKFQDFYYILSPPSVERLGYMIDAGQAATFPKLDFIAARMTIEKLIEKGRMMDKPSKLGRSIDGTIGTSMSRGDIEISQESASISPEDIDIVN