O64407 AF NFT | MOLNFT bioinformatics, blockchain

Beta-amylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeia3vigl5ve6v3ubglzrbqoxuitsevfwcdmwy2iau7rxzjcoiezqaq/metadata.json

IPFS of structure file:

bafybeia5zgqlpcp2t7kv2clhdwlwlyvcyakph6z5qyd3ehuxwvprrjtzfy/AF-O64407-F1-model_v2.pdb

First NFT owner address (eip-55):

0xaa53776A41fB2e67da75A96E8a53746b6874aAB4

First NFT owner address (bech32):

genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30

Current NFT ID #15898 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
15898
Accession (UniProt):
O64407
Name::
Beta-amylase
Experimental Method:
Predicted structure
Sequence source:
VIGNA UNGUICULATA

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 O64407 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O64407|AMYB_VIGUN Beta-amylase OS=Vigna unguiculata OX=3917 GN=BMY1 PE=2 SV=1 MASLDKNMLLNYVPVYVMLPLGVVSVNNVFEDPEGLKEQLVQLREAGVDGVMVDVWWGIIEQKGPKQYDWSAYKSLFQLVQECGLKLQAIMSFHQCGGNVGDVVNIPIPQWVLDIGESDPDIFYTNRSGTRDKEYLTIGVDNKPIFHGRTAIEVYSDYMKSFRENMSDFLKSEVIIDIEVGLGPAGELRYPSYPQNQGWVFPGIGEFQCYDKYLKAEFKAAAARAGHSEWELPDDAGTYNDVPESTEFFKTNGTYLTEKGKFFLTWYSNQLLNHGDEILDEANKAFLGCKVNLAIKVSGIHWWYKAQNHAAELTAGYYNLDDRDGYRPIAKMVSRHHASLNFTCLEMRDSEQSSDAQSGPQELVQQVLSGGWRENIEVAGENALSRYDATAYNQIILNARPQGVNKDGPPKHRMYGVTYLRLSDELLQQSNFDIFKKFVVKMHADQDYCEDPQEYNHGIPPLKRSEPKIPVDVLNEATKPIPPFPWDSETDMKVDG