Q24JV9 AF NFT

Galectin-3-binding protein A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabk3aab3hoasbwcnawtpgxqr5rg4kwkux5rkbrys2gyccp5ag4ua/metadata.json
IPFS of structure file: 
bafybeicfleloiq365tq4ojapf2fezgz35e5p346nt5oh2ku3kyr6pp6wey/AF-Q24JV9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x94796168cFf9bD786025A738B85f21667861E30A
First NFT owner address (bech32): 
genesis1j3ukz6x0lx7hscp95uutshepveuxrcc2808mp4
Current NFT ID #206766 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
206766
Accession (UniProt):
Q24JV9
Name::
Galectin-3-binding protein A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q24JV9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q24JV9|L3BPA_DANRE Galectin-3-binding protein A OS=Danio rerio OX=7955 GN=lgals3bpa PE=2 SV=1 MIMYIIWALLFIPVSAQQWTLFDEQAKPKREGRVRLVGGLPSSGRVEVYHDGQWGTVCDDGWDLAEAQVVCRQLGFPGAVSVASGGQYGEGSGPIWLDDMNCKGSESILSECCFKGWGVNDCTHQEDAGVVCDTGTNATNIRQISVDNSLGLSDDLGLLFDSEDGCDFIIAVQDLGEEAELTLCVHRVILMMYPELNITNDTRNLTVDVSQTCQSHVSALIRYLYTRQIDVSATSAQCLYQLAFIFGVQRLMEDVGRVFTALIPEDNTFQTPVSMYEYGLRTGDLVLQENVLQYLSWNCEFLISSPVWSTVSFEMMDALLQRSDLIVKDEAVLLEALERWIQDKGDQISSDKQASLLSHIRFLLIPVDKLYDIQFSSSALYQNNEKLYLTGLLRGFEFNALPFSKIRNQIDNASSEYLPRIYTGDEWSVFINDTTVSSPYYNYNYYGQSNRIQTFFTSAHPSALYKDQKVQWQAQVFLTLQECSNYGVSCNTLPVARFYGYSNQYSYSNIISYNNRLILTCKNQNNVFHVQEFKNDVAVIPTNSSMGLPNPCPDDYSFRFVVRPQYI