A3QDD8 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6wqtewqdmeiymfyevfnqykwj7xf4ouu4xjj2glzulzvbat5pq44/metadata.json
IPFS of structure file: 
bafybeigl6awqy2lma2tljl7y5iockrac27vqbljv4ry5mpant2zawakrwa/AF-A3QDD8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71351b1FB9B1B80D8d60E1f869F762a9c785B183
First NFT owner address (bech32): 
genesis1wy63k8aekxuqmrtqu8uxnamz48rctvvr932j4d
Current NFT ID #434185 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434185
Accession (UniProt):
A3QDD8
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Shewanella loihica (strain ATCC BAA-1088 / PV-4)

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 A3QDD8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3QDD8|SPEA_SHELP Biosynthetic arginine decarboxylase OS=Shewanella loihica (strain ATCC BAA-1088 / PV-4) OX=323850 GN=speA PE=3 SV=1 MSNWSIKDAYVGYNVNYWSSGLYGISEAGEVTVSPDPNHPEHTIGLNELAKDMVKSGVALPVLVRFPQILHHRVNSLCNAFNQAITRYDYQSDYLLVYPIKVNQQQTVVEEILASQVSKEVPQLGLEAGSKPELMAVLAMAQKASSVIICNGYKDVEYIRLALIGEKLGHQVYIVLEKLSELKVVLEEAKKLGVTPRLGLRVRLAFQGKGKWQASGGEKSKFGLSAAQVLNVINSLKDEDMLDSLQLLHFHLGSQIANIRDIRSGVSEAGRFYCELQKMGANVKCFDVGGGLAVDYDGTRSQSSNSMNYGLTEYANNIVSVLNDMCREHDQPMPRLISESGRYLTAHHAVLITDVIGTEAYKPEDLQAPDEEAPQQLKNMWDSWGEVSGRADQRALIEIYHDVQSDLAEVHSLFALGQMSLSDRAWAEQMNLRVCYELKGVMSGKYRFHRPVIDELNEKLADKFFVNFSLFQSLPDAWGIDQVFPVMPLSGLDKKPERRAVMLDITCDSDGTVDQYVDGQGIETTLPVPAWSAESPYLIGFFLVGAYQEILGDMHNLFGDTNSAVVRLDDDGLVNIESVLAGDTVADVLRYVNLDAVSFMRTYEELVNLHIQEDERANILEELQIGLKGYTYLEDFS