A4WNL6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5g3msjcbcb3tjib2dbu3xhln7o7llwqrt42okh4meqyqkfftcv4/metadata.json
IPFS of structure file: 
bafybeifqta6nakfxs2pf7bmgoeizzijepix2tbim6mgmxkzk5ug4ylqnnq/AF-A4WNL6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x360B8dA9b6354DB9f5f9D83837B4234471f42C81
First NFT owner address (bech32): 
genesis1xc9cm2dkx4xmna0emqur0dprg3clgtypuhmhnw
Current NFT ID #532256 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532256
Accession (UniProt):
A4WNL6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17025 / ATH 2.4.3)

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 A4WNL6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4WNL6|YIDD_CERS5 Putative membrane protein insertion efficiency factor OS=Cereibacter sphaeroides (strain ATCC 17025 / ATH 2.4.3) OX=349102 GN=Rsph17025_0068 PE=3 SV=1 MSPLAQIFALPVRAYRLLLSPWVGHGCRYQPTCSVYALEALERHGALKGGWLAARRILRCHPWGGSGYDPVPGADPEHDRRPRG