Q6FPD9 AF NFT

2-(3-amino-3-carboxypropyl)histidine synthase subunit 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcnnq5xccecvepe7sfuamlqkysfb3ah2s6aukzubyjekckqb7dxu/metadata.json
IPFS of structure file: 
bafybeiflcsxgrpwhrl43ajp5bomxkyekcc4rsv7qaxrc3lf3a326iio244/AF-Q6FPD9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF435Cc7528760B6B8D880Df3befF1C3095f62B98
First NFT owner address (bech32): 
genesis17s6ucafgwc9khrvgphemalcuxz2lv2ucmzed63
Current NFT ID #103674 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
103674
Accession (UniProt):
Q6FPD9
Name::
2-(3-amino-3-carboxypropyl)histidine synthase subunit 2
Experimental Method:
Predicted structure
Sequence source:
CANDIDA GLABRATA (STRAIN ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65)

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 Q6FPD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FPD9|DPH2_CANGA 2-(3-amino-3-carboxypropyl)histidine synthase subunit 2 OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=DPH2 PE=3 SV=1 MSNEDILVPAALSTHQDESDFTFQKFDSDSMERSFYLGPLSSQDELWDKLMQYYSIDKLIAYLQRNPEYVQITLQFPDTLVKDSSFIIRALQDKLDGDGAGRKFWALADTAYSACCVDEVAAEHVKGDLVIHFGDACLNAIQKLPVVYDFGKPFLDTDVLLACFTEEFKDKDQKICLMSNASYTHHIPDLYSRLKSNGYTNVVYSVVNTGLLTETAEIIDNTTPLSDTDELFTLGNRVLMGARQEEDIDEETLRNEYALFHITMPHDPHLLYLTTVFESIHTYDVADQVISNGPYPSLTRRYKNMHKARTAGCIGILVNTLSIRGTRETVNKLIKLIRENGKKHYLFVVGKPNVPKLANFEPVDIWCILGCGQSGIIVDEFGEFYKPIITPYELTLALNFEVTWTGKWIIDFQKAITEIDNSLAELGIDDSKHGNDSDHDLDAPEFDAVTGKYVSSSRPLRALNHLQLDAPSNEDKQVMARVNGGTVIKGTVSTAVEHLANRAWTGLGSDYKDDEGYEEDGATVEEGISGIARGYEFDQEDAARKSQNQSQ