Q47944 L-sorbose 1-dehydrogenase MolNFT, Molecular NFT on GenesisL1

L-sorbose 1-dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihlxknliuq6l7a5shxzegd376733j6eb7244vk34utm73kjcl5jay/metadata.json

IPFS of structure file:

bafybeibr4dohxzkrepwknku7cpcywnhu5jg5dgp2zczypf5dd3kngcz3bu/AF-Q47944-F1-model_v2.pdb

First NFT owner address (eip-55):

0x2760719Aaa7Aed839E71Ab4F25aCEafbAA8ceB27

First NFT owner address (bech32):

genesis1yas8rx420tkc88n34d8jtt82lw4ge6e8g2e9dz

Current NFT ID #422998 owner (web3):

0x98e22253e31B07cB0618d7388D8e56673A1A11dF

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
422998
Accession (UniProt):
Q47944
Name::
L-sorbose 1-dehydrogenase
Experimental Method:
Predicted structure
Sequence source:
GLUCONOBACTER OXYDANS

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 Q47944 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q47944|SDH_GLUOY L-sorbose 1-dehydrogenase OS=Gluconobacter oxydans OX=442 PE=3 SV=1 MTSGFDYIVVGGGSAGCVLAARLSENPSVRVCLIEAGRRDTHPLIHMPVGFAKMTTGPHTWDLLTEPQKHANNRQIPYVQGRILGGGSSINAEVFTRGHPSDFDRWAAEGADGWSFRDVQKYFIRSEGNAVFSGTWHGTNGPLGVSNLAEPNPTSRAFVQSCQEMGLPYNPDFNGASQEGAGIYQMTIRNNRRCSTAVGYLRPALGRKNLTVVTRALVLKIVFNGTRATGVQYIANGTLNTAEASQEIVVTAGAIGTPKLMMLSGVGPAAHLRENGIPVVQDLPGVGENLQDHFGVDIVAELKTDESFDKYRKLHWMLWAGLEYTMFRSGPVASNVVEGGAFWYSDPSSGVPDLQFHFLAEAGAEAGVTSVPKGASGITLNSYVLRPKSRGTVRLRSADPRVNPMVDPNFLGDPADLETSAEGVRLSYEMFSQPSLEKHIRKTCFFSGKQPTMQMYRDYAREHGRTSYHPTCTCKMGRDDMSVVDPRLKVHGLEGIRICDSSVMPSLLGSNTNAATIMISERAADFIQGNA

Q47944 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q47944 research and analysis (ICN3D with VR)

FASTA sequences

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