A1KCQ0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic52qdhakp6eh2v7d43ldwns2ukaquwzayfhvgbgs332nzvs6mmam/metadata.json
IPFS of structure file: 
bafybeido6clattulzku2wqrvf6ieltqvnky3hrvfxynv67tbk56msa2i34/AF-A1KCQ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBc0D917FA4795675935BEf33e3A0671BBDb3ebf1
First NFT owner address (bech32): 
genesis1hsxezlay09t8ty6maue78gr8rw7m86l3g8zv5z
Current NFT ID #532177 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532177
Accession (UniProt):
A1KCQ0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Azoarcus sp. (strain BH72)

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 A1KCQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1KCQ0|YIDD_AZOSB Putative membrane protein insertion efficiency factor OS=Azoarcus sp. (strain BH72) OX=418699 GN=azo3990 PE=3 SV=1 MKTVLIVLLRFYRYAISPMLGRNCRFHPSCSEYAIEAVQRHGAVRGAWLAARRVARCHPFHPGGYDPVP