C6DYS2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig53eoxz5as7c4mhxegyfvvas4d5exiurkflexayhiv62mneelnfa/metadata.json
IPFS of structure file: 
bafybeidihz22jjqvsqjkgvspc2cr4p7qgw5ung6qvffuaocspl6qgiljje/AF-C6DYS2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7Fe8EC3e2F52E83fc61c087D6Dd75E8584fB57B4
First NFT owner address (bech32): 
genesis10l5wc0302t5rl3supp7km467skz0k4a5g7kvfn
Current NFT ID #532351 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532351
Accession (UniProt):
C6DYS2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Geobacter sp. (strain M21)

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 C6DYS2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C6DYS2|YIDD_GEOSM Putative membrane protein insertion efficiency factor OS=Geobacter sp. (strain M21) OX=443144 GN=GM21_4150 PE=3 SV=1 MLKQIFIGLVVFYQRFISPLKAPSCRFYPTCSHYSLQALEKYGPVKGLWLTAARVLKCHPFHPGGYDPVK