Q57576 AF NFT

Acetyl-CoA decarbonylase/synthase complex subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie57eopydwawq4iqeewmwtfcntkrkvzvh7am6g6owh4yumvnqsynm/metadata.json
IPFS of structure file: 
bafybeigyfcncaidpnzdysc5qtvv4yftvznjvsmaqut6erkatoau6dg3czm/AF-Q57576-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #5323 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
5323
Accession (UniProt):
Q57576
Name::
Acetyl-CoA decarbonylase/synthase complex subunit gamma
Experimental Method:
Predicted structure
Sequence source:
METHANOCALDOCOCCUS JANNASCHII (STRAIN ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440)

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 Q57576 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57576|ACDG_METJA Acetyl-CoA decarbonylase/synthase complex subunit gamma OS=Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) OX=243232 GN=cdhE PE=3 SV=1 MPKKISAMDIYKLLPKTNCKKCGYPSCMAFATKLLEKEATIDQCPILNTPKFEKNKKKIIELISPPVKEVWFGNEEKKAVMGGDEVMYRYQLSFFNPTPIGVDISDELSEEEIKNRAKEIENFVFERTGEKLKLDFIVIRNASGDVEKFKKAIEIVEKETKMPICIASLNPEVIKEALKVVKSKPMVYAATKETLNDFIKVIKEVKKDVVLVLSSNNVKDLKNMAAKCLANGIEDLVLEPHTYPENIAETLDLNVMIRRSAIEKEDKYLGFPILNLPINAYYYALKNECPISGFFEDKEVVAKMFEATIANTLMNRYADALIMHGMDIWELMPVLTLRQCIYTDPRKPQAVEPGLYPIGNPDENSPVILTTNFSLTFYTVTGDFEKDNVTCWLLVMDTGGKAVDVSVAGGQYNGENAKKLIEETGIADKVSHRIIILPALAASTRGDIEDKTGWTCVVGTRDSSQVGDFLRNNWDKILKEWKEKNQTA