Q29058 Galectin-4 MolNFT, Molecular NFT on GenesisL1

Galectin-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigkbfjglk5peyh6n633p65c2cwdus6ptqqerm4iyjv4rq7vlojxqa/metadata.json

IPFS of structure file:

bafybeigux4wuac355psitdmmbzz574hwz6l6a7xi2azu5zc5yo3cgagxde/AF-Q29058-F1-model_v2.pdb

First NFT owner address (eip-55):

0x8d96d6Ee1CD7B2e188d9779006d86D77205A1292

First NFT owner address (bech32):

genesis13ktddmsu67ewrzxew7gqdkrdwus95y5j6rj5dw

Current NFT ID #209086 owner (web3):

0xFB04A69429e1aDF578Ed1736131a87ebE5d837bf

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
209086
Accession (UniProt):
Q29058
Name::
Galectin-4
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q29058 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q29058|LEG4_PIG Galectin-4 OS=Sus scrofa OX=9823 GN=LGALS4 PE=2 SV=1 MAFVPAPGYQPTYNPTLPYYKPIPGGLRVGMSVYIQGVANEHMKRFFVNFVVGQGPGADVAFHFNPRFDGWDKVVFNSQQDGKWGNEEKKRSMPFRKAPAFELVIMVLPEHYKVVVNGDPFYEFGHRIPVQLVTHLQVDGDLTLQSINFIGGQPAPSPGPMPNPGYPGPGKHNQQPCNLPCMEGAPTFNPPVPYKTRLQGGLVARRTIVIKGYVPPSGKSLVINFKVGSSGDVALHINPRLTEGIVVRNSYLNGKWGAEERKSSFNPFAPGQYFDLSIRCGLDRFKVYANGQHLFDFSHRLSNFQGVDTLEIQGDVTLSYVQI

Q29058 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q29058 research and analysis (ICN3D with VR)

FASTA sequences

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