Q4L7X2 AF NFT

Membrane protein insertase YidC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3as4dpuu5u6p4l6l2h7k7y42mexkixfsfchgsrqvqm5zoyhps3i/metadata.json
IPFS of structure file: 
bafybeiaak6xtazmniqvpjnastwpg752ndjdv5om3ulm3fedft3dzhnx43a/AF-Q4L7X2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1C6d74B24246Fb79541e3b0466c2b0D0b51a2553
First NFT owner address (bech32): 
genesis1r3khfvjzgmahj4q78vzxds4s6z635f2nd4p4se
Current NFT ID #532100 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532100
Accession (UniProt):
Q4L7X2
Name::
Membrane protein insertase YidC
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS HAEMOLYTICUS (STRAIN JCSC1435)

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 Q4L7X2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4L7X2|YIDC_STAHJ Membrane protein insertase YidC OS=Staphylococcus haemolyticus (strain JCSC1435) OX=279808 GN=yidC PE=3 SV=1 MKKKALLPLLLGVMVFLAGCDYSKSSNRDGFFYNTFVEPMSKVLHWLGHSVFNDDYGIAIIVLVLVIRIILLPFMLSNYKNSHLMREKMKVAKPEVDGVQEKVKRARTQEEKMAANQEMMEVYKKYDINPMKSALGCLPVLIQMPVVMGLYFVLRYRIGGGIAEHPHFLWFNLIHPDIWITIIAGVLYFIQAWVSSKQMPQEQRQMTYMMMIVSPIMIIWISLSSASALGLYWSVSAAFLVVQTYFANMYYEKVAQREVAPMIEKFKENNSNSNKKGKNTQVVSKNNKKKK