Q95NQ0 G-protein coupled receptor Mth2 MolNFT, Molecular NFT on GenesisL1

G-protein coupled receptor Mth2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidclmkemtqqk5dezghbss42g6i34cfyxfnymonoukml5l7bs7u25m/metadata.json

IPFS of structure file:

bafybeid2bdxqqrx7caofy64jbxej7beknv5oridlcusqynflvjbd6k73pa/AF-Q95NQ0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x90B0dC5f9D4AcAa5B518C0f79735C6801d04dC68

First NFT owner address (bech32):

genesis1jzcdchuaft92tdgccrmewdwxsqwsfhrglcyukr

Current NFT ID #247347 owner (web3):

0x90B0dC5f9D4AcAa5B518C0f79735C6801d04dC68

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
247347
Accession (UniProt):
Q95NQ0
Name::
G-protein coupled receptor Mth2
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA SIMULANS

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 Q95NQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95NQ0|MTH2_DROSI G-protein coupled receptor Mth2 OS=Drosophila simulans OX=7240 GN=mth2 PE=3 SV=1 MAERDHYHTIDDPNVPCNFYDTVNLTGHRLFPNGSYDYYGTIVPAELVGTYDYIHSSLTERIEVREHVRGCVCKFKSCLNICCPWRQVFNSEVDGCIIDHTDNRTWPDPPMLNITFRNESTILVNMFTQFAIQSFRPCPKMFSLQPETSSWDDYLLFENGSMLRVDDKLLIRKNEFCMVPTYVNESDMFYTIHPANCDMQDDHSTVKIINSYAMMFSIPFMMLTIAVYLLIPELRNQHGKSLVCYLIGLTVGYSSLCYVQLYQVDATGVTCKVFGYTAYFFFMGAYMWLSVISFDLWHNFRGTRGINRFQEKKRFLFYSLYSWGIALVFLAFTYCAQQLSNLPDNLKPGIGDGVYCWLDMSNWAAMIYFYGPILAIVVANTIMFIMTAIKIHGVQREMARIIASENSTKNLRTEKDKFGLFLRLFLIMGITWLTELISYFVGSDKGWSKLFYISDLANAMQGFLIFMLFVMKKKVKHLITNRCSSVRDGSNQRQSQYSTKTTSSSVANLSLHEKPSVEKPLVISSSVDPQKTTIFR

Q95NQ0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q95NQ0 research and analysis (ICN3D with VR)

FASTA sequences

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