Q4JSC3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpy2dh5jcpc5oddxbvh577onabcurmmes2cegvjz3duge3crkt5e/metadata.json
IPFS of structure file: 
bafybeicwxaqvl2z7eowgg3gczuxvsgni3bgove5vgkaphsgaxh3howcjui/AF-Q4JSC3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x827Dcb147886372317f263288bc31c7eeFc7876c
First NFT owner address (bech32): 
genesis1sf7uk9rcscmjx9ljvv5ghscu0mhu0pmveqly78
Current NFT ID #532296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532296
Accession (UniProt):
Q4JSC3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium jeikeium (strain K411)

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 Q4JSC3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4JSC3|YIDD_CORJK Putative membrane protein insertion efficiency factor OS=Corynebacterium jeikeium (strain K411) OX=306537 GN=jk2102 PE=3 SV=1 MARRLILGYQSYLSPLKMGPTCRFEPTCSNYALIAISRHGLIKGSVLALGRLARCGPWHPGGWDPVPPRRPLCSWGGRRR