B3Y618 AF NFT | MOLNFT bioinformatics, blockchain

Toll-like receptor 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidjshlyyk35xv6gqqvxrme77j5r4bqa735ukd3nyi2twt4nabr6xy/metadata.json

IPFS of structure file:

bafybeibgqcpm57ez7mrfmc3njiifz4fgd424wf7ngjzceqyxxuemktevqa/AF-B3Y618-F1-model_v2.pdb

First NFT owner address (eip-55):

0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF

First NFT owner address (bech32):

genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl

Current NFT ID #467548 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
467548
Accession (UniProt):
B3Y618
Name::
Toll-like receptor 2
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 B3Y618 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3Y618|TLR2_MACMU Toll-like receptor 2 OS=Macaca mulatta OX=9544 GN=TLR2 PE=2 SV=1 MPHTLWMVWVLGVIISLSKEESSNQASLSCDHNGICKGSSGSLNSIPSVLTEAVKCLDLSNNRITYISNSDLQRYVNLQALVLTSNGINTIEEDSFSSLGRLEHLDLSYNYLSNLSSSWFKPLSSLKFLNLLGNPYKTLGETSLFSHLTKLRILRVGNMDTFTKIQRKDFAGLTFLEELEIDASDLQSYEPKSLKSIQNVSHLILHMKQHILLLEIFVDLTSSVECLELRDTDLNTFHFSELSTGETNSLIKKFTFRNVKITDESLFQVMKLLSQISGLLELEFDDCTLNGVGDFRGSDNDRVIDPGKVETLTIRRLHIPQFYSFNDLSTLYPLTERVKRITVENSKVFLVPCLLSRHLKSLEYLDLSENLMVEEYLKNSACEDAWPSLQTLILRQNHLASLGKIGETLLTLKNLTNLDISKNTFHYMPETCQWPEKMKYLNLSSTRIHSVTGCIPKTLEILDISNNNLNLFSLNLPQLKELYISRNKLMTLPDASLLPMLLVLKISRNTITTFSKEQLDSFHTLKTLEAGGNNFICSCEFLSFTQEQQALAKVLVDWPANYLCDSPSHVRGQRVQDVRLSVSECHRAALVSGMCCALFLLILLMGVLCHRFHGLWYMKMMWAWLQAKRKPRKAPNRDICYDAFVSYSERDAYWVENLMVQELENFNPPFKLCLHKRDFIPGKWIIDNIIDSIEKSHKTVFVLSENFVKSEWCKYELDFSHFRLFDENNDAAILVLLEPIEKKAIPQRFCKLRKIMNTKTYLEWPMDEARQEGFWVNLRAAIKS