Q6BM93 AF NFT

Signal recognition particle SEC65 subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibs5m2owiy36nrtoryrfkgrpbcveiibjqka7ftrmakt2t4i7wwqqy/metadata.json
IPFS of structure file: 
bafybeih35k7xxvl5y2ybbxfptgjrhlms2we4b476kvepoossrcgnemfnzq/AF-Q6BM93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #423479 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423479
Accession (UniProt):
Q6BM93
Name::
Signal recognition particle SEC65 subunit
Experimental Method:
Predicted structure
Sequence source:
Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968)

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 Q6BM93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6BM93|SEC65_DEBHA Signal recognition particle SEC65 subunit OS=Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968) OX=284592 GN=SEC65 PE=3 SV=1 MAKRPVLEDVLDDEIDNMDMDIAQFDPSLRTPIAPVQPGPQITRSQDQEPPLFPNFPHPEQDKSVERKDIVDPNKFSAEERAELKKFQIIYPCYFDKSRSHKDGRRVSESKAVSNPLAKTISDACRHYNLPVMLELDKTHPQDFGNPGRVRVLIKDNNKNGMPVDSRFKTKRAVLNIIADYLKTHPTTLASIGPKSGIPLPSEYETGFEPGEIPKVKGFKMNTIVPVHSELTIKHPMTKSIYDPEPEQPQVKAPQAPKQPKKKVMKIRG