P14804 AF NFT

Glucoamylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcdnozo7rvx4lz6rqretcbqnqmw62mnmh6wqhmzgvq3gxzhd7r4i/metadata.json
IPFS of structure file: 
bafybeicqxmpomrngsfkpzk6fo5vbdvr7bouzrs3buuii2ghqum4j6ykf5i/AF-P14804-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #15915 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
15915
Accession (UniProt):
P14804
Name::
Glucoamylase
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 P14804 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P14804|AMYG_NEUCR Glucoamylase OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=gla-1 PE=1 SV=3 MHLVSSLLVVGAAFQAVLGLPDPLHEKRHSDIIKRSVDSYIQTETPIAQKNLLCNIGASGCRASGAASGVVVASPSKSSPDYWYTWTRDAALVTKLIVDEFTNDYNTTLQNTIQAYAAAQAKLQGVSNPSGSLSNGAGLGEPKFMVDLQQFTGAWGRPQRDGPPLRAIALIGYGKWLVSNGYADTAKSIIWPIVKNDLAYTAQYWNNTGFDLWEEVNSSSFFTIAASHRALVEGSAFAKSVGSSCSACDAIAPQILCFQQSFWSNSGYIISNFVNYRSGKDINSVLTSIHNFDPAAGCDVNTFQPCSDRALANHKVVVDSMRFWGVNSGRTAGKAAAVGRYAEDVYYNGNPWYLATLAAAEQLYDAVYVWKKQGSITVTSTSLAFFKDLVPSVSTGTYSSSSSTYTAIINAVTTYADGFVDIVAQYTPSDGSLAEQFDKDSGAPLSATHLTWSYASFLSAAARRAGIVPPSWGAASANSLPGSCSASTVAGSYATATATSFPANLTPASTTVTPPTQTGCAADHEVLVTFNEKVTTSYGQTVKVVGSIAALGNWAPASGVTLSAKQYSSSNPLWSTTIALPQGTSFKYKYVVVNSDGSVKWENDPDRSYAVGTDCASTATLDDTWR