A8FWJ3 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsjvltttdrputnuv4hj7hszkloqfvqlxxk54uxvkhmt2jzv4ijrm/metadata.json
IPFS of structure file: 
bafybeigptdy6burk6v7nnwbvdiwhrxikirckelreraiqxijtehiwd7kiyu/AF-A8FWJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2bC4A2947aE02D2833F24FC6f8766d0bb350Cb94
First NFT owner address (bech32): 
genesis190z299r6uqkjsvljflr0sandpwe4pju5fuwfg0
Current NFT ID #434191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434191
Accession (UniProt):
A8FWJ3
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Shewanella sediminis (strain HAW-EB3)

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 A8FWJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8FWJ3|SPEA_SHESH Biosynthetic arginine decarboxylase OS=Shewanella sediminis (strain HAW-EB3) OX=425104 GN=speA PE=3 SV=1 MSDWSINDARTGYNVNYWSQGLYGISDTGEVTVSPDPSHPEYSIGLNELAKDMVKSGVALPVLIRFPQILHHRVNSVCQAFNQAIQKYEYQSDYLLVYPIKVNQQQTVVEEILASQVSKEVPQLGLEAGSKPELMAVLAMAQKASSVIICNGYKDVEYIRLALIGEKLGHKVYIVLEKLSELKIILEEAEKLGVTPRLGCRVRLAFQGKGKWQASGGEKSKFGLSASQVLTVIDSLKQSQMLDSLQLLHFHLGSQIANIRDIRQGVSEAGRFYCELQKLGANVKCFDVGGGLAVDYDGTRSQSSSSMNYGLTEYANNIVSVLTDLCNEYKEPMPRIISESGRFLTAHHAVLITDVIGTEAYKPEVIEEPETEAPQLLHNMWQSWSEVSGRADQRALIEIYHDCQSDLSEVHSLFALGQLSLSERAWAEQVNLRVCHELRDVMSPKYRFHRPIIDELNEKLADKFFVNFSLFQSLPDAWGIDQVFPIMPLSGLDKAPERRAVMLDITCDSDGTIDQYVDGQGIETTIPVPTWSAESPYLIGFFLVGAYQEILGDMHNLFGDTNSAVVRLDDDGRTNIESVLAGDTVADVLRYVNLDAVSFMRTYEELVNKHIQEAERANILEELQLGLKGYTYLEDFS