Q7CJL3 AF NFT

Probable lipid kinase YegS-like

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekwku356fbjblfpebjqdzdlem3sqlojpjqkxdhicqfjjw5a3mcte/metadata.json
IPFS of structure file: 
bafybeic3gsbqxz6xkfxjopod4krhk7pvmsn6fmca2u4vf3fwinqs3ryoai/AF-Q7CJL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #529291 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
529291
Accession (UniProt):
Q7CJL3
Name::
Probable lipid kinase YegS-like
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q7CJL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7CJL3|YEGS_YERPE Probable lipid kinase YegS-like OS=Yersinia pestis OX=632 GN=YPO2856 PE=3 SV=1 MPHTLLILNGKESGNPEVREAVKNVRDEGLTLHVRITWEHGDAKRYVEEAATLAVSTVIAGGGDGTINEVATALMSLPADKRPCLGILPLGTANDFATGCNIPLQIENALQLAVKGRAVAIDLAQVNGEHYFINMATGGFGTRITTETPDKLKAALGGVSYFIHGLMRLDALKADSCKIHGPDFHWSGDALVIGIGNGKQAGGGQLLCPDALINDGLMQLRLLTAKELLPAVLSTLFNGEKNKNVIDATVPWLDITAPNDITFNLDGEPLSGRHFHIEILPHAIQCRLPPNCPLLG