Q3B109 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyoeyj4k43q3gpbqzbv6iogmejqufzidlcxahwurc63l46uypql4/metadata.json
IPFS of structure file: 
bafybeielcunj4yeb7rnhyeyaaitco2d76zzbqm7f2jh4fjnknm5th7tndu/AF-Q3B109-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #532265 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532265
Accession (UniProt):
Q3B109
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Chlorobium luteolum (strain DSM 273 / BCRC 81028 / 2530)

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 Q3B109 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3B109|YIDD_CHLL3 Putative membrane protein insertion efficiency factor OS=Chlorobium luteolum (strain DSM 273 / BCRC 81028 / 2530) OX=319225 GN=Plut_2130 PE=3 SV=1 MVIWKVVNKAPLALIKFYRAILSPMFPPSCRFYPTCSAYALEAFETHNFFKASWLSLWRILRCNPFSKGGFDPVPPHDGVPGKKED