Q0HW78 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiglzwwjlsblednwayaz2yo3f2dyvxbudcptkkvrq4ancjvuepdhja/metadata.json

IPFS of structure file:

bafybeieaddgmbudne3hxqll63ysx64vpny24jfhu6hhhsgmjcgc27vfo24/AF-Q0HW78-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4a9fF6B75cFBbFbd8057E1A3FD1fC1AF8AE4945A

First NFT owner address (bech32):

genesis1f20ldd6ulwlmmqzhux3l687p479wf9z6t0p4c2

Current NFT ID #434193 owner (web3):

0x92f96107f8fA08E20b96ef0480Fa095378eF082F

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434193
Accession (UniProt):
Q0HW78
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-7)

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 Q0HW78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HW78|SPEA_SHESR Biosynthetic arginine decarboxylase OS=Shewanella sp. (strain MR-7) OX=60481 GN=speA PE=3 SV=1 MNDWSIDAARAGYNVTHWSQGFYGISDQGEVTVSPDPKNPDHKIGLNELAKDMVKAGVALPVLVRFPQILHHRVNSLCQAFDQAIQKYEYQADYLLVYPIKVNQQKTVVEEILASQASKEVPQLGLEAGSKPELMAVLAMAQKASSVIVCNGYKDNEYIRLALIGEKLGHKVYIVLEKLSELKMVLAESKRLGVKPRLGLRARLAFQGKGKWQASGGEKSKFGLSAAQILTVVDQLKENDMLDSLQLLHFHLGSQIANIRDIRQGVSEAARFYCELRELGASINCFDVGGGLAVDYDGTRSQSNNSMNYGLSEYANNIVNVLTDICNEYEQPMPRIISESGRHLTAHHAVLITDVIGTEAYQVEDIQPPAEESPQLLHNMWQSWTELSGRADQRALIEIYHDSQSDLQEAQSLFALGQLSLAERAWAEQANLRVCHEVQGLLSTKNRYHRPIIDELNEKLADKFFVNFSLFQSLPDAWGIDQVFPVLPLSGLDKAPERRAVMLDITCDSDGIVDQYVDGQGIETTLPVPAWSAESPYLMGFFMVGAYQEILGDMHNLFGDTNSAVVSIEENGMTNIESVLAGDTVADVLRYVNLDAVDFMRTYEELVNQHIVEEERAQILEELQVGLKGYTYLEDFS

MOLNFT AF v1_w

NFT data

MOLNFT Q0HW78 research and analysis (ICN3D with VR)

FASTA sequences

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