Q6NRB0 AF NFT

Protein Hook homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidodlg3jvtijttetsuzefjllhhqijvt7wylsvq5sntxnkvt3t2i4q/metadata.json
IPFS of structure file: 
bafybeigeglw2uq3fv3kzu4toyeo64w6zyzrap4roei5vdi3x4eubol7mke/AF-Q6NRB0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c1c449ec7B9135D02DaB674994E53C7934610b5
First NFT owner address (bech32): 
genesis13swyf8k8hyf46qk6ke6fjnjnc7f5vy94m9h9gf
Current NFT ID #175680 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
175680
Accession (UniProt):
Q6NRB0
Name::
Protein Hook homolog 2
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6NRB0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NRB0|HOOK2_XENLA Protein Hook homolog 2 OS=Xenopus laevis OX=8355 GN=hook2 PE=2 SV=1 MSSKRKVELCDSLLTWMQTFQVSGPCSSYEDLTGGVAIAQVLNRIDPSWFNEAWLVRVKKDTTENWRLKVSNLKRILQSVLEYYQDVLGHPVSDDHIPDVALIGEFSNDTELRKMVQLVLGCAISCDKKEEHIQQIMTLGESVQQAVMESIQELLSKAPSDAVTSESFINYDSQSRKYYFLSEDNDEKNEILQRCHDLEQQVSLLMEEKKNMMGENRTLKEQQEQSGMGTPQLFNKKLLLLQSQIEQLQEENYRLESSRDDYRQRCQELDRDVQELQQRNQDLTGLAHESQALRDEMDVLRHSSDRVGKLESLVDSYKKKLEDLGDLRRQVKLLEERNTMYMQRTFQLEEDLHKANASRGQVESLSRQVQELHKKHSTESLRAEKWQFEFQTLKEKFEALQKERERLIAERDSLRETNDELRCSHLQQTCLGQADLLLSGSSPPLENLAAEIVPAELRETVIRLQQENKMLCAQEASYHERLCDLQNFLEESNRSKNRLESESRLQQQQIKGLKAQVEELQKQLREQGNRAEDSSQLKRKLEEHLEMLHDAHSELQKKREYIETLEPKADLNMSRKVDELQQILHQKEEDMRAMEERYKRYVDKARTVIKSLDPKQQNYIPPEIQALKNQLQEKDTRIRHLETDYEKTKVQRDQEEKLIISAWYNMGMALHQKSTDEKTQPPNGAQSFLAQQRLATNARRGQISRSHTLLPRYTDKRQSLS