Q9HPJ9 AF NFT

Probable glycine dehydrogenase (decarboxylating) subunit 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdgy6gw4pkxzeylz2a5h6nof2jbwz2ep5mmyl2okmvcybi2h7noa/metadata.json
IPFS of structure file: 
bafybeigyj2wpg5sfepskyfou7pefhr2kjgx5qhe53zpkjztayotiq5h3ay/AF-Q9HPJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEc4C90d408De7142a2936ac29701e3ce1373d0a4
First NFT owner address (bech32): 
genesis1a3xfp4qgmec59g5ndtpfwq0recfh859yhszxwj
Current NFT ID #144971 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
144971
Accession (UniProt):
Q9HPJ9
Name::
Probable glycine dehydrogenase (decarboxylating) subunit 1
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 700922 / JCM 11081 / NRC-1)

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 Q9HPJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HPJ9|GCSPA_HALSA Probable glycine dehydrogenase (decarboxylating) subunit 1 OS=Halobacterium salinarum (strain ATCC 700922 / JCM 11081 / NRC-1) OX=64091 GN=gcvPA PE=3 SV=1 MSGSPYASPSEADTDAMLDAVGVDRVDELFDIPPEVSFDGEFGIDAKSEQAALRGVRRRLSDNDDLTEFLGRGHYEHYVPSLVDSVSQRSEFITSYTQYQPEITQGFLQVLFEYQSLLVELTGLGVANCSMYDAATALAEAALLAKRVRAADGNRVLVPGFVRDSHVDVLRNYTSGSDVVVERYATDAGNVDLDALEAAMDADVVMVYAENPTTCGTVEEQLCAVGDLADSHDALFCLGSDPVAMSILQRPVDVGADVVVGDASVLGMPTSYGTGLGVFATRKEFLRQVPGRLVGASEDDAGTRAFTLTLQTREQHIRKERATSNICTNQAWVALRAAIHAAWLGADGLVDLAERMVELPRDLAARLDDVSGVTAPVHDDRHHIREFQARTEQPAPAVASALEAEGFGVHAVDDHTIQVCVTDANEHATDAFVAAVREVSE