Q8R860 Alanine racemase 2 MolNFT, Molecular NFT on GenesisL1

Alanine racemase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib4oinhpdce3qsuezbxev73hrtpkb2vii357vg6kawpxilk7motxe/metadata.json

IPFS of structure file:

bafybeihzchv6uq4vqha4d2aj4hbr5qjoevl4ygi4higwrng43j7ztkiroi/AF-Q8R860-F1-model_v2.pdb

First NFT owner address (eip-55):

0x871aCC3B0773ace3fb0195109b9FBC8247dACf6d

First NFT owner address (bech32):

genesis1sudvcwc8wwkw87cpj5gfh8ausfra4nmdfjd06v

Current NFT ID #14202 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
14202
Accession (UniProt):
Q8R860
Name::
Alanine racemase 2
Experimental Method:
Predicted structure
Sequence source:
CALDANAEROBACTER SUBTERRANEUS SUBSP. TENGCONGENSIS (STRAIN DSM 15242 / JCM 11007 / NBRC 100824 / MB4)

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 Q8R860 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8R860|ALR2_CALS4 Alanine racemase 2 OS=Caldanaerobacter subterraneus subsp. tengcongensis (strain DSM 15242 / JCM 11007 / NBRC 100824 / MB4) OX=273068 GN=alr2 PE=3 SV=1 MFDEIRPTRVEVNLDSIVHNFREIKRVVGDRVKVMGVVKANAYGHGAYHVAKALVENGVDYLAVATVEEALELRSYGITAPVLILGYTPLSQAGEAVEKDVTFTAFDLKYVKELGEIASRKGKKAKIHVKIDTGMGRIGYTDFDLAEREIEEMSKLEGIELEGIFSHFATSDEKDKDYAREQFERFADMLKRLEKRGVNITLKHIANSGAITDLNYAYLDMVRPGITLYGSYPSNDVNKILDLRPAMNFKTKIVYIKEVPENTSISYGRTFITKRPSKIATLPIGYADGLNRLLSNNHEVLVRGKYVPIVGRVCMDQTMIDVTEVEGVEVGDEVVIFGEQEGKRITADDIAKKLRTIPHEVYCGISRRVPRIYIYRGEVFDVKNYLKI

Q8R860 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q8R860 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience