A0LE50 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7c3o3pict54ztpgld77hd2hoacviygdll63ca2g2pvw64ny7ebm/metadata.json
IPFS of structure file: 
bafybeids5dy3vtsriso3nvkxdjsxzxlxzpi4cbnv2eg6ciq5zku4chyebu/AF-A0LE50-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEBBf35c923DFc0Ff59C3A72CE4B322ae91D42e05
First NFT owner address (bech32): 
genesis1awlntjfrmlq07kwr5ukwfvez46gagts9du0zsh
Current NFT ID #532408 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532408
Accession (UniProt):
A0LE50
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MAGNETOCOCCUS MARINUS (STRAIN ATCC BAA-1437 / JCM 17883 / MC-1)

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 A0LE50 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0LE50|YIDD_MAGMM Putative membrane protein insertion efficiency factor OS=Magnetococcus marinus (strain ATCC BAA-1437 / JCM 17883 / MC-1) OX=156889 GN=Mmc1_3758 PE=3 SV=1 MGRLLVLLVRFYQLFISPVLPPSCRHSPTCSQYAIEALQKHGAIKGSWLAFRRVLRCNPWHPGGYDPVP