Q7NPT7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2vg6v5yqdir5mdc2rrxkwdfuhfzosb5vnevvb2sstlt2udqbpiq/metadata.json
IPFS of structure file: 
bafybeifnw6dfe4cxcs623j3nttiuzbo5ozokjdkfjioxlqnapb7njs7wlq/AF-Q7NPT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52c78725AFC9d48D15F59Ad16EF89e5653209d57
First NFT owner address (bech32): 
genesis12trcwfd0e82g6904ntgka7y72efjp82hs2n7z0
Current NFT ID #532275 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532275
Accession (UniProt):
Q7NPT7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CHROMOBACTERIUM VIOLACEUM (STRAIN ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757)

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 Q7NPT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7NPT7|YIDD_CHRVO Putative membrane protein insertion efficiency factor OS=Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) OX=243365 GN=CV_4405 PE=3 SV=2 MSRILILLIRFYQLAISPWLAPRCRFQPTCSGYAIEAVSKHGALKGGCLAARRICRCHPWGGSGYDPVP