Q9Z101 AF NFT

Partitioning defective 6 homolog alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbtg5tmli46twjgfeelybmilsfc4d36ebxnfbwfn3jt7xekor3ky/metadata.json
IPFS of structure file: 
bafybeihab3xaenremrsshwx5axamtwc3chmr664vprklxe4yurv4tzgwqe/AF-Q9Z101-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x651207d00689D88967A8252c7789431a4434F46a
First NFT owner address (bech32): 
genesis1v5fq05qx38vgjeagy5k80z2rrfzrfar2hy2m5x
Current NFT ID #288342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288342
Accession (UniProt):
Q9Z101
Name::
Partitioning defective 6 homolog alpha
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9Z101 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z101|PAR6A_MOUSE Partitioning defective 6 homolog alpha OS=Mus musculus OX=10090 GN=Pard6a PE=1 SV=2 MARPQRTPARSPDSIVEVKSKFDAEFRRFALPRTSVRGFQEFSRLLCVVHQIPGLDVLLGYTDAHGDLLPLTNDDSLHRALASGPPPLRLLVQKRAEGDSSGLAFASNSLQRRKKGLLLRPVAPLRTRPPLLISLPQDFRQVSSVIDVDLLPETHRRVRLHKHGSDRPLGFYIRDGMSVRVAPQGLERVPGIFISRLVRGGLAESTGLLAVSDEILEVNGIEVAGKTLDQVTDMMVANSHNLIVTVKPANQRNNVVRGASGRLTGPSSVGPGPTDPDSDDDSSDLVIENRHPPCSNGLSQGPLCWDLQPGCLLPGAGSSLPSLDSREQANSGWGNGMRGDVSGFSL