C5D6T9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgpr356ty3mz3z4rnfnxbfrqzfof3ktpsnczjvmjvbekehkklt4u/metadata.json
IPFS of structure file: 
bafybeicbd3xownsnvyrqbtc34ut4wgwtsuvkr263unkn5qb2jiy2pctwqe/AF-C5D6T9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB0d7400b9DcfaC79853F2a70119e45D7974F7358
First NFT owner address (bech32): 
genesis1krt5qzuae7k8npfl9fcpr8j967t57u6ctk788w
Current NFT ID #532352 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532352
Accession (UniProt):
C5D6T9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Geobacillus sp. (strain WCH70)

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 C5D6T9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5D6T9|YIDD_GEOSW Putative membrane protein insertion efficiency factor OS=Geobacillus sp. (strain WCH70) OX=471223 GN=GWCH70_2790 PE=3 SV=1 MKKLLISFIRFYQIFISPLKPPTCRFYPTCSHYGLEAVKRFGAIKGGWLTIKRILKCHPFHPGGFDPVPEKQENGKS