Q7Z601 Probable G-protein coupled receptor 142 MolNFT, Molecular NFT on GenesisL1

Probable G-protein coupled receptor 142

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeia6w76rk5xws5xufz3rutubo4uve6cyx3lrvqxva222qbizqqs4ji/metadata.json

IPFS of structure file:

bafybeib7wvb7bjn2xqbtxbcx5hnfp6extmpoac4ef6qhk4nkkssyscodeq/AF-Q7Z601-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4292e50FeBBAC3fFE4b47E368a5Ad53F437fB128

First NFT owner address (bech32):

genesis1g2fw2rlthtplle950cmg5kk48aphlvfg5z7u44

Current NFT ID #155119 owner (web3):

0xFE12884Eff419603b6dFefe423f9b5276dad6aD4

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
155119
Accession (UniProt):
Q7Z601
Name::
Probable G-protein coupled receptor 142
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q7Z601 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7Z601|GP142_HUMAN Probable G-protein coupled receptor 142 OS=Homo sapiens OX=9606 GN=GPR142 PE=2 SV=1 MSIMMLPMEQKIQWVPTSLQDITAVLGTEAYTEEDKSMVSHAQKSQHSCLSHSRWLRSPQVTGGSWDLRIRPSKDSSSFRQAQCLRKDPGANNHLESQGVRGTAGDADRELRGPSEKATAGQPRVTLLPTPHVSGLSQEFESHWPEIAERSPCVAGVIPVIYYSVLLGLGLPVSLLTAVALARLATRTRRPSYYYLLALTASDIIIQVVIVFAGFLLQGAVLARQVPQAVVRTANILEFAANHASVWIAILLTVDRYTALCHPLHHRAASSPGRTRRAIAAVLSAALLTGIPFYWWLDMWRDTDSPRTLDEVLKWAHCLTVYFIPCGVFLVTNSAIIHRLRRRGRSGLQPRVGKSTAILLGITTLFTLLWAPRVFVMLYHMYVAPVHRDWRVHLALDVANMVAMLHTAANFGLYCFVSKTFRATVRQVIHDAYLPCTLASQPEGMAAKPVMEPPGLPTGAEV

Q7Z601 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q7Z601 research and analysis (ICN3D with VR)

FASTA sequences

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