C3LP78 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5nmr3jqyxdxi7q2e5pvqb24jyltgmhbtpjzwoegxuxafvvxf3jq/metadata.json
IPFS of structure file: 
bafybeiftt45chhc37z5f5ht75iayxhwjkpzpfxauf5knwb3z56u2mcquji/AF-C3LP78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #532641 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532641
Accession (UniProt):
C3LP78
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN M66-2)

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 C3LP78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3LP78|YIDD_VIBCM Putative membrane protein insertion efficiency factor OS=Vibrio cholerae serotype O1 (strain M66-2) OX=579112 GN=VCM66_0005 PE=3 SV=1 MATPLSPFSWLAIGIVKLYQWFISPLIGPRCRFTPTCSTYAIEALRAHGFIKGCWLSTKRLLKCHPLNEGGFDPVPPVQKQDRDK