Q64729 AF NFT

TGF-beta receptor type-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7sdjogdl4v73jct33yxjl5l2jk47yqql45ozai54hakzkfpqwhu/metadata.json
IPFS of structure file: 
bafybeieu2qxo5s3wailflc5ivttz2vq2sxpixlzj6mz4petka3xzei6qle/AF-Q64729-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1141c59a573b52725A219545C456190739feD131
First NFT owner address (bech32): 
genesis1z9qutxjh8df8yk3pj4zug4sequula5f36k4gs7
Current NFT ID #461953 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
461953
Accession (UniProt):
Q64729
Name::
TGF-beta receptor type-1
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 Q64729 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64729|TGFR1_MOUSE TGF-beta receptor type-1 OS=Mus musculus OX=10090 GN=Tgfbr1 PE=1 SV=1 MEAAAAAPRRPQLLIVLVAAATLLPGAKALQCFCHLCTKDNFTCETDGLCFVSVTETTDKVIHNSMCIAEIDLIPRDRPFVCAPSSKTGAVTTTYCCNQDHCNKIELPTTGPFSEKQSAGLGPVELAAVIAGPVCFVCIALMLMVYICHNRTVIHHRVPNEEDPSLDRPFISEGTTLKDLIYDMTTSGSGSGLPLLVQRTIARTIVLQESIGKGRFGEVWRGKWRGEEVAVKIFSSREERSWFREAEIYQTVMLRHENILGFIAADNKDNGTWTQLWLVSDYHEHGSLFDYLNRYTVTVEGMIKLALSTASGLAHLHMEIVGTQGKPAIAHRDLKSKNILVKKNGTCCIADLGLAVRHDSATDTIDIAPNHRVGTKRYMAPEVLDDSINMKHFESFKRADIYAMGLVFWEIARRCSIGGIHEDYQLPYYDLVPSDPSVEEMRKVVCEQKLRPNIPNRWQSCEALRVMAKIMRECWYANGAARLTALRIKKTLSQLSQQEGIKM