Q6JLC9 AF NFT

Zinc finger protein 331

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiayw6ermxbfr3kfbwtbvfcer5rq3wwx34kwauk7ctblucpyzl6asi/metadata.json

IPFS of structure file:

bafybeicg3g6mqj65ytab2zq5zb66q4q63bazgkaqr5dsu6pzjm5nglid5a/AF-Q6JLC9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xcF3444A9d2FD68005aA0248bc2E47C278EDb79C8

First NFT owner address (bech32):

genesis1eu6yf2wjl45qqk4qyj9u9eruy78dk7wg5ug2mk

Current NFT ID #541057 owner (web3):

0xcF3444A9d2FD68005aA0248bc2E47C278EDb79C8

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541057
Accession (UniProt):
Q6JLC9
Name::
Zinc finger protein 331
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 Q6JLC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6JLC9|ZN331_CANLF Zinc finger protein 331 OS=Canis lupus familiaris OX=9615 GN=ZNF331 PE=2 SV=1 MAHGLVTFSDVAIDFSQEEWACLDSRQRDLYWDVMLENYSNLVSLDLESPYGTKSLPTEKGIYEINLSKWNSNGKSKSLGLDWMCEGEFEGPQGPRESCFNQMIINYEKTPTCRENTSVRPHQRLHTRENSYECKECGKAFSRGYQLTQHQKIHTGEKPYECKECKKAFRWGNQLTQHQKIHTGEKPYECKDCGKAFRWGSSLVIHKRIHTGEKPYECKDCEKAFRRGDELTQHQRFHTGEKDYECKDCGKTFSRVYKLIQHKRIHSGEKPYECKDCGKAFICGSSLVQHKRIHTGEKPYECQECGKAFTRVNYLTQHQKIHTGEKPHECKECGKAFRWGSSLVKHERIHTGEKPYKCTECGKAFNCGYHLTQHERIHTGETPYKCKECGKAFIYGSSLVKHERIHTGEKPYECKECGKAFSHGHQLTQHQKIHTGEKSFECKECGKACNHVNHLREHQRVHTAEKPFEQKEGAEASIQHSFLPQHKENP

MOLNFT AF v1_w

NFT data

MOLNFT Q6JLC9 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience