Q60755 AF NFT | MOLNFT bioinformatics, blockchain

Calcitonin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiaincgcce5uafj3wwrcsy5z6t3lwgpxrrkzkrm6e3k5uf37gzuemy/metadata.json

IPFS of structure file:

bafybeicrfexxgs74hlcv4jk6imlkixavybtixirst4qdlspgpiklcq6dc4/AF-Q60755-F1-model_v2.pdb

First NFT owner address (eip-55):

0xC3Bd79E88714EbaDaCeF9C2A7Aa4f6E58AFE8289

First NFT owner address (bech32):

genesis1cw7hn6y8zn46mt80ns484f8kuk90aq5fj2udsl

Current NFT ID #49732 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
49732
Accession (UniProt):
Q60755
Name::
Calcitonin receptor
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q60755 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q60755|CALCR_MOUSE Calcitonin receptor OS=Mus musculus OX=10090 GN=Calcr PE=2 SV=2 MTPRRSRVKRRNLRKPKMRFLLVNRFTLLLLLLVSPTPVLQAPTNLTDSGLDQEPFLYLVGRKKLLDAQYKCYDRIHQLPSYEGEGLYCNRTWDGWMCWDDTPAGATAYQHCPDYFPDFDTAEKVSKYCDENGEWFRHPDSNRTWSNYTLCNAFTSEKLQNAYVLYYLALVGHSLSIAALVASMLIFWIFKNLSCQRVTLHKHMFLTYILNSIIIIIHLVEVVPNGDLVRRDPMHIFHHNTHMWTMQWELSPPLPLSAHEGKMDPHASEVISCKVLHFLHQYMMSCNYFWMLCEGIYLHTLIVMAVFTDEQRLRWYYLLGWGFPIVPTIIHAITRALYYNDNCWLSAETHLLYIIHGPVMVALVVNFFFLLNIVRVLVTKMRQTHEAESYMYLKAVKATMVLVPLLGIQFVVFPWRPSNKVLGKIYDYLMHSLIHFQGFFVATIYCFCNHEVQVTLKRQWTQFKIQWSQRWGRRRRPTNRVVSAPRAVAFAEPDGLPIYICHQEPRNPPISNNEGEESTEMIPMNVIQQDASA