B8CR70 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeididdk7xjld7qjvrzcjjrxvvzpc7u7dkdhk5ouhmd4xscbxxii2m4/metadata.json
IPFS of structure file: 
bafybeibmz4aihr2wiyadca2aibcmyi4imwjupmteq3j3qgi4o5haqckqsq/AF-B8CR70-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x605d3052093391F2D57b33217931db4627F892dC
First NFT owner address (bech32): 
genesis1vpwnq5sfxwgl94tmxvshjvwmgcnl3ykutwphzw
Current NFT ID #434189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434189
Accession (UniProt):
B8CR70
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA PIEZOTOLERANS (STRAIN WP3 / JCM 13877)

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 B8CR70 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8CR70|SPEA_SHEPW Biosynthetic arginine decarboxylase OS=Shewanella piezotolerans (strain WP3 / JCM 13877) OX=225849 GN=speA PE=3 SV=1 MNNWSIDDARASYNVNYWSQGLYGISDEGEVTVSPDPNRPDCKIGLNELAKDMVKAGVALPVLVRFPQILHHRVNSLCQAFNQAIQKYKYEADYLLVYPIKVNQQQTVVEEILASQVEKEVPQLGLEAGSKPELLAVLAMAQKASSVIICNGYKDKEYIRLALIGEKLGHKVYIVLEKMSELKVVLEQAKELGVTPRLGLRVRLAFQGKGKWQASGGEKSKFGLSAAQVLKVIELLQHEEMLDSLELLHFHLGSQIANIRDIRQGVSEAGRFYCELMKLGAQVKCFDVGGGLAVDYDGTRSQSNNSMNYGLTEYANNIVSVLTDMCKEYEQPMPRIISESGRYLTAHHAVLLTDVIGTESYKPETILPPSEDAPLLLQNMWQSWTEVSGKADQRALIEIFHDCQSDLTEVHSLFALGQLSLADRAWAEQINLRVCHELQGSMSSKYRYHRPIIDELNEKLADKFFVNFSLFQSLPDAWGIDQVFPVMPLSGLDKAPERRAVMLDITCDSDGIVDQYVDGQGIETTLPVPAWTQESPYLIGFFLVGAYQEILGDMHNLFGDTNSAVVRVDENGRRNIDSVLEGDTVADVLRYVNLEAVSFMRTYEELVNKHIVADERSNILEELQLGLKGYTYLEDFS