Q28635 AF NFT

Beta-sarcoglycan

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibkqgkxktqrmacn45q4ghoth5kmjo333da6zz3awo3ksd7zc7wbyu/metadata.json
IPFS of structure file: 
bafybeign5wdyjixhn5c5uhii6aljrdk4jccywr3754azmvjjjr6ac7ikfy/AF-Q28635-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc663c339B33EBB31b84039575e218358B8FeD238
First NFT owner address (bech32): 
genesis1ce3uxwdn86anrwzq89t4ugvrtzu0a53c80detx
Current NFT ID #427705 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
427705
Accession (UniProt):
Q28635
Name::
Beta-sarcoglycan
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q28635 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28635|SGCB_RABIT Beta-sarcoglycan OS=Oryctolagus cuniculus OX=9986 GN=SGCB PE=1 SV=1 MAAAAAAAAEQQSSNGPVKKSMREKAVERRNVNKEHNSNFKAGYIPIDEDRLHKTGLRGRKGNLAICVIVLLFLLAVINLIITLVIWAVIRIGPNGCDSMEFHESGLLRFKQVSDMGVIHPLYKSTVGGRRNENLVITGNNQPIVFQQGTTKLSVEKNKTSITSDIGMQFFDPRTQNILFSTDYETHEFHLPSGVKSLNVQKASTERITSNATSDLNIKVDGRAIVRGNEGVFIMGKTIEFHMGGNMELKAENSIILNGTVMVSTTRLPSSSSADQLGGGDWVRYKLCMCADGTLFKVQVTGQNVGCQVSDNPCGNTH