Q6CXL5 AF NFT

COP9 signalosome complex subunit 10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicij7ev6key2yczyvixc2oihp6r4mwotjzmrk7akswijst5jaclqq/metadata.json
IPFS of structure file: 
bafybeienes3wc2ifucn3f4457gfprlxrlru6yxcgjtw76naeubyv5xkjra/AF-Q6CXL5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x77Cd30004b5B148f427907D8Ee0d834Cc4230E46
First NFT owner address (bech32): 
genesis1wlxnqqzttv2g7sneqlvwurvrfnzzxrjx52zqn3
Current NFT ID #78582 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
78582
Accession (UniProt):
Q6CXL5
Name::
COP9 signalosome complex subunit 10
Experimental Method:
Predicted structure
Sequence source:
KLUYVEROMYCES LACTIS (STRAIN ATCC 8585 / CBS 2359 / DSM 70799 / NBRC 1267 / NRRL Y-1140 / WM37)

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 Q6CXL5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6CXL5|CSN10_KLULA COP9 signalosome complex subunit 10 OS=Kluyveromyces lactis (strain ATCC 8585 / CBS 2359 / DSM 70799 / NBRC 1267 / NRRL Y-1140 / WM37) OX=284590 GN=RRI2 PE=3 SV=1 MSDEEDYAEYMMSEEDMSSFEMDVDSDVEPDDAGLEQDQQVTGDDYDGSAGNSGDSMAAVEKQCESWYDTGKAFKNDDQFEEARKWFMKCHASPIWWFKSLKQIIKSDLSQGLRVNERLREMFELVSTKKEMIGEESYIYGSVKRLINRIVPDLNSHLLFTERLRQSSIDVSTLMERQRYLDILEKSVADMDQELRDLVTIRKIVYCVWIHVLRWEQIPKETLEDLHENVNLETYFILLQLHVRTFVDEDIVHLIELVKVVDEMGRFMTNSLSVSQIPTVTSVYHFARFLTLWKSTDHYNQSQMLSKCEGELTSCFQDLEAIGGTERDGLMLTRFSLMGIVFCHLLLNDKTKLVPFELEQIKVLEADELVVLLQELYQCWLDMDIYALEQCLLQLEDFYSPWYNVMIEKIIALCQSNKLWKRIAPTYSCIALQDLMAKLETGNTITMNRDQLLTLLMKSIAKDTADVYYKLDLVEDYVYFGEEYFVPLRSEELNIVNPLSQQMGSEIIGKDEWLCNVSNWHKPKVPKKLSAIEFMDYMKAARVTISQTNLAHHEPTVTSFLLKLSTITHAQLTQNSSSLASTN