C1F9G2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3yuwq6luzw4tlmfpgdfqalt3ykd5tjf2rcncrsquzdegqxi2t4e/metadata.json
IPFS of structure file: 
bafybeicu565rm7da25b4zv477sn63wu4jen44cut6rh6oc6mpwf3x55opy/AF-C1F9G2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #532158 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532158
Accession (UniProt):
C1F9G2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Acidobacterium capsulatum (strain ATCC 51196 / DSM 11244 / BCRC 80197 / JCM 7670 / NBRC 15755 / NCIMB 13165 / 161)

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 C1F9G2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1F9G2|YIDD_ACIC5 Putative membrane protein insertion efficiency factor OS=Acidobacterium capsulatum (strain ATCC 51196 / DSM 11244 / BCRC 80197 / JCM 7670 / NBRC 15755 / NCIMB 13165 / 161) OX=240015 GN=ACP_2119 PE=3 SV=1 MRERLAAAGLAFYRGAVSPTLHALAPGGCRFQPTCSEYAAIAVAEWGLARGAVMAMWRLLRCHPLSRGGFDPVPLRPKPGGPHLRANGSNFEAKASRREPRSRDAR