A4GAN4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcyoro7ee3ke2u75usvtsab45rslh7n3zwnnefhhz23mcu66476i/metadata.json
IPFS of structure file: 
bafybeicf7x2ud7eevctm42sziwqepuoeeaw5fd5spusbafr7u2eud2b7he/AF-A4GAN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #532366 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532366
Accession (UniProt):
A4GAN4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Herminiimonas arsenicoxydans

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 A4GAN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4GAN4|YIDD_HERAR Putative membrane protein insertion efficiency factor OS=Herminiimonas arsenicoxydans OX=204773 GN=HEAR3470 PE=3 SV=1 MKTILLLLVRAYQLGISPFLGQNCRFYPSCSAYAFEAIGEYGALKGSFLATKRLCKCHPWHPGGVDPVPKKSSSKKTSSTTACGCGHS