Q03W70 AF NFT

Argininosuccinate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigaqkty6qo7fm2sryr6wnk5qapriipmilosc5pqlc7sjbgue6gjea/metadata.json
IPFS of structure file: 
bafybeifjrcp6n65plx3yqzpu4mvn2my5ew7ltftcfktw5zwivfamr6cwxu/AF-Q03W70-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #29462 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
29462
Accession (UniProt):
Q03W70
Name::
Argininosuccinate synthase
Experimental Method:
Predicted structure
Sequence source:
Leuconostoc mesenteroides subsp. mesenteroides (strain ATCC 8293 / DSM 20343 / BCRC 11652 / CCM 1803 / JCM 6124 / NCDO 523 / NBRC 100496 / NCIMB 8023 / NCTC 12954 / NRRL B-1118 / 37Y)

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 Q03W70 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03W70|ASSY_LEUMM Argininosuccinate synthase OS=Leuconostoc mesenteroides subsp. mesenteroides (strain ATCC 8293 / DSM 20343 / BCRC 11652 / CCM 1803 / JCM 6124 / NCDO 523 / NBRC 100496 / NCIMB 8023 / NCTC 12954 / NRRL B-1118 / 37Y) OX=203120 GN=argG PE=3 SV=1 MTDTLVLAYSGGLDTSVAIPWLKDKGYDVIAVVLDVGQHGKNLNEIQAKALKVGAKQSIVIDAKAEFADKYVAPVIKANMMYEGEYPMVSALSRPLIIKKLVDIAHENDAVAIAHGSTGHGNDQVRFEAAIHALDPDMKIEAPIRDFQWSREEEIQYAQEHDVPVPIDLDSPYSIDENLWGRANEAGILENPWNQAPEDAFALTTAIEDAPDTPEFIDVTFEAGVPVALNGEVLSLEKLIVAVNEIAGKHGIGRIDHIENRLVGIKSREIYEAPAAAVLMTAHKDLEDLTLERDVAHFKPIVEQQLANLVYEAKWVSPLFDSLMAFIDSTQQNVNGVVKMKLFKGNATAVARQSEHNSLYDEDLATYTSSSSFDQASAVGFIKLWTLSNTVYEQVNHVHSQAKKNTVK