A0A0G2KQY6 AF NFT

Metal cation symporter ZIP14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2qruyymadfd7qowlrhhtpdzisqfjolxgoh5z6im6mdhcooqqbwu/metadata.json
IPFS of structure file: 
bafybeigdxvhwsm6pegooz4ifj2mmqg3pnal4wss5hsbety6yfgkecndyfe/AF-A0A0G2KQY6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #419153 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
419153
Accession (UniProt):
A0A0G2KQY6
Name::
Metal cation symporter ZIP14
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 A0A0G2KQY6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0G2KQY6|S39AE_DANRE Metal cation symporter ZIP14 OS=Danio rerio OX=7955 GN=slc39a14 PE=2 SV=1 MTLRRASGCRQLTLTIGLALTLGLLQWPIGDVRGQDGASPAQVLQELLTRYGDNASISVPQLRSLLVRLNGGQSEDHDSKTQPTRTNASKCLAADTLAVYGMSEQSRIDERGLQQICPTMIQQLDSQACKTQPNQESESSPRPTEAEVWGYGLLCVTVISLCSLVGASVVPFMRKTFYKRLLLYFIALAIGTLYSNALFQLIPEAFGFDPMEDYYVPKSAVVFGGFYLFFFTEKILKMILKPKDTGGHGHGHSHFPAERYANSNGDLEDGVMEKLQNGEAGGAALPRAEADGRGVGEDDKMLSTGQTVQDTQSSGGGGTGGCYWLKGRAYSDIGTLAWMITLSDGLHNFIDGLAIGASFTASVFQGISTSVAILCEEFPHELGDFVILLNAGMSIQQALFFNFLSACCCYLGMGFGILAGNNFSPNWIFALAGGMFLYIALADMFPEMNEVSREEEEAGGSGFLLTFALQNAGLLTGFAIMLVLTIYSGQIQLG