A7GSN6 AF NFT

Probable glycine dehydrogenase (decarboxylating) subunit 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbflv4rznzvn4fcxuzel6maexfslp5qbvbjbbxe55ncqrw3czseq/metadata.json
IPFS of structure file: 
bafybeif7v3t5njg7xhostwak3fm77yv3wgyxrtwsf6zlitbfq57ebqok5a/AF-A7GSN6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1A6DF2C593d19A5Bc526DD215e1E86780e906B39
First NFT owner address (bech32): 
genesis1rfkl93vn6xd9h3fxm5s4u85x0q8fq6eeax38e0
Current NFT ID #145069 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
145069
Accession (UniProt):
A7GSN6
Name::
Probable glycine dehydrogenase (decarboxylating) subunit 2
Experimental Method:
Predicted structure
Sequence source:
Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98)

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 A7GSN6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7GSN6|GCSPB_BACCN Probable glycine dehydrogenase (decarboxylating) subunit 2 OS=Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98) OX=315749 GN=gcvPB PE=3 SV=1 MKNQDQALIFEMSKEGRVGYSLPQLDVEEVKLEDVFESNYIRAEDAELPEVSELDIMRHYTALSNRNHGVDSGFYPLGSCTMKYNPKINENVARFPGFANIHPLQDEKTVQGAMELMYDLQEHLVEITGMDAVTLQPAAGAHGEWTGLMLIRAYHEANGDHNRTKVIVPDSAHGTNPASATVAGFETITVKSNEHGLVDLEDLKRVVNEETAALMLTNPNTLGLFEENILEMAEIVHNAGGKLYYDGANLNAVLSQARPGDMGFDVVHLNLHKTFTGPHGGGGPGSGPVGVKEDLIPFLPKPILEKTENGYHFNYDRPQAIGRVKPFYGNFGINVRAYTYIRSMGPDGLRAVTENAVLNANYMMRRLAPYYDLPFDRHCKHEFVLSGRCQKKLGVRTLDIAKRLLDFGYHPPTIYFPLNVEECIMIEPTETESKETLDGFIDKMIQIAKEAKENPEIVQEAPHTTVITRLDETMAARKPILRYQKPTPVQV