Q756H7 AF NFT

Signal recognition particle SEC65 subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpsmkfolsxa7eee453a3xkraursb3znhmqfoei25odud35p7bt2a/metadata.json
IPFS of structure file: 
bafybeihwcg2ey4vv547hoei6icfzm27lkacc7fsw6rcldqsuche4xo4bb4/AF-Q756H7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9bF5F84C75690a56a78965Df98E262fC9c087f0C
First NFT owner address (bech32): 
genesis1n06lsnr4dy99dfufvh0e3cnzljwqslcvfyc43z
Current NFT ID #423476 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423476
Accession (UniProt):
Q756H7
Name::
Signal recognition particle SEC65 subunit
Experimental Method:
Predicted structure
Sequence source:
ASHBYA GOSSYPII (STRAIN ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056)

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 Q756H7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q756H7|SEC65_ASHGO Signal recognition particle SEC65 subunit OS=Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) OX=284811 GN=SEC65 PE=3 SV=1 MPKLEEIDDLEDIDNLHMDLAELDASLKTPIAPRLKPTVVRSQDSEPPLFPQIPLEGEQGPSFTFIDPKSGRVEETTKITKEDLADLKRFQILYPCYFDKNRTHAQGRQVPLELAVANPLAKTIADACRELEVLCVFEGEKTHPQDFGNPGRVRVLLKENGKAAGKYANKRWLMKNVAKYLQEHPTTLESLREIPYGPDFEGIEPSKIPLVHGFQMNEIVPLHSPFTMGHPMTKGIYTAPKVVAPEKQIKAPKNKYKVVRR