B4E7D4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyo3twvvpa4fqbozxtbtbcdgsc3s7yvmkwrzjkdrkq4w6xyd2qci/metadata.json
IPFS of structure file: 
bafybeierodpz3ag4umrspefojbsg7qwptxtiqsshnjalkjjam7iblu2sti/AF-B4E7D4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC0491A7e4a5851164cEffD648c5067B32B6C2422
First NFT owner address (bech32): 
genesis1cpy35lj2tpg3vn80l4jgc5r8kv4kcfpzh0k3ru
Current NFT ID #532228 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532228
Accession (UniProt):
B4E7D4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA CENOCEPACIA (STRAIN ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610)

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 B4E7D4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4E7D4|YIDD_BURCJ Putative membrane protein insertion efficiency factor OS=Burkholderia cenocepacia (strain ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610) OX=216591 GN=BceJ2315_04240 PE=3 SV=1 MKTVLIALLRFYKVAVSPMLGNRCRFYPSCSDYAREAIQYHGAARGTYLAVRRVCRCHPFSAGGIDLVPPPNSDTRARGEADARSHRL