A4YCM3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7i6tkxmjsvwe7jlo56okgiwpuhsoxbrzvmfc3vhmnoc7j2q6z6e/metadata.json
IPFS of structure file: 
bafybeibtsh4jugo2yuouwezdkvctq5rfmwngzoi4l2phiv7b7a7c3guvzq/AF-A4YCM3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #532539 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532539
Accession (UniProt):
A4YCM3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella putrefaciens (strain CN-32 / ATCC BAA-453)

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 A4YCM3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4YCM3|YIDD_SHEPC Putative membrane protein insertion efficiency factor OS=Shewanella putrefaciens (strain CN-32 / ATCC BAA-453) OX=319224 GN=Sputcn32_4003 PE=3 SV=1 MAQTQSPLQWLATTLIRGYQIFISPILGPRCRFNPTCSHYAIEAIKVHGTAKGCWFALKRILKCHPLHPGGSDPVPPKNDRCNK