O26819 AF NFT

Putative (R)-citramalate synthase CimA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkq7morzbkctknkhp4lyzax7o3rlfvlpdz5mvgzuudpoyh2eonym/metadata.json
IPFS of structure file: 
bafybeif3syfakwelyqtlwv7krvo2avutx4spb3pnlibglco2cmav7n3jsm/AF-O26819-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #63333 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63333
Accession (UniProt):
O26819
Name::
Putative (R)-citramalate synthase CimA
Experimental Method:
Predicted structure
Sequence source:
METHANOTHERMOBACTER THERMAUTOTROPHICUS (STRAIN ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / DELTA H)

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 O26819 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O26819|CIMA_METTH Putative (R)-citramalate synthase CimA OS=Methanothermobacter thermautotrophicus (strain ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / Delta H) OX=187420 GN=cimA PE=3 SV=1 MQVRVLDTTLRDGEQTPGVSLTPEEKLRIALKIDALGADIIEAGSAITSEGEREGIRKITSEGLRAEICSFARAVREDIDAAISCDVDSVHLVVPTSDLHLEHKLRKTREEVLEQAVDCTEYAVDHGILVELSAEDSTRSDMDFLRTIFREGIEAGAERICACDTVGILTPERSYEFYRGLSELGAPLSVHCHNDFGLAVANSLAGLRAGASEVHATINGIGERAGNAALEEVVVALKSLYDVDTSINIEMLYETSRMVARMTGVYLQPNKAIVGENAFAHESGIHADGVLKKAETYEPITPEMVGHGRGFVMGKHIGTHALRKRLDELGMKVADDKLMEIFRRVKTLGDMGKCVTDVDLQAIAEDVLGVMEDKVVDLQEVTIVSGNRVTPTASVKLRVDDREVLEAGTGVGPVDAAIVAIKKSLEDFADITLEEYHVDAITGGTDALIDVVIKLRHGDRIISARSTQPDIIMASVEAFLSGVNRLLANEKSEGTH