A5ID78 AF NFT

UPF0434 protein LPC_1374

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblmnkwwjulnd6jomliwris6lgjzb64bzyukco2ueff47noxbsgyy/metadata.json
IPFS of structure file: 
bafybeieuuh6g3wbby5xzdlayw2r42w2yacwnx5uqt6lhcrznbrqr6p6k6u/AF-A5ID78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1845261721C30faB0573FB733392972cFfDf9A53
First NFT owner address (bech32): 
genesis1rpzjv9epcv86kptnlden8y5h9nlalxjn67g3kk
Current NFT ID #506394 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
506394
Accession (UniProt):
A5ID78
Name::
UPF0434 protein LPC_1374
Experimental Method:
Predicted structure
Sequence source:
Legionella pneumophila (strain Corby)

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 A5ID78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5ID78|Y1374_LEGPC UPF0434 protein LPC_1374 OS=Legionella pneumophila (strain Corby) OX=400673 GN=LPC_1374 PE=3 SV=1 MDKKLLEILVCPLCKGKLLFKKQELICKFDRLAFPVRDDIPVMLEQEARLIPLEEKDKL