P94335 AF NFT

UDP-N-acetylmuramate--L-alanine ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2fcjmcqmv42fi7vpgmeu2mwdg3iej6lccfbkccd4ea2p3tndzdm/metadata.json
IPFS of structure file: 
bafybeigqbslkd2et2jruho7ynk7eawbxwdxymdq4zr7gsrxxtd2ze2yiqm/AF-P94335-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF435Cc7528760B6B8D880Df3befF1C3095f62B98
First NFT owner address (bech32): 
genesis17s6ucafgwc9khrvgphemalcuxz2lv2ucmzed63
Current NFT ID #250872 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
250872
Accession (UniProt):
P94335
Name::
UDP-N-acetylmuramate--L-alanine ligase
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 P94335 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P94335|MURC_CORGL UDP-N-acetylmuramate--L-alanine ligase OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=murC PE=3 SV=5 MTTPHLDSAQDIDLSRVHLIGIGGAGMSGVARILLARGKTVTGSDAKDSRTLLPLRAVGATIAVGHAAENLELSGELPTVVVTSFAAIPQDNPELVRAREEGIPVIRRSDLLGELLEGSTQVLIAGTHGKTSTTSMSVVAMQAAGMDPSFAIGGQLNKAGTNAHHGTGEVFIAEADESDASLLRYKPNVAVVTNVEPDHLDFFKTPEAYFQVFDDFAGRITPNGKLVVCLNDPHAAELGERSVRKGIKTVGYGTADAVQAHPEVPAMATIVDSQVVAEGTRATINIDGQEVSVILQIPGDHMVLNGAAALLAGYLVGGDVDKLVEGLSDFSGVRRRFEFHGAIEGGKFNGAAIYDDYAHHPTEVTAVLSAARTRVKAAGKGRVIVAFQPHLYSRTIEFQKEFAEALSLADAAVVLEIYGAREQPVDGVSSEIITDAMTIPVVYEPNFSAVPERIAEIAGPNDIVLTMGAGSVTMLAPEILDQLQNN