B5R1R2 Crotonobetainyl-CoA reductase MolNFT, Molecular NFT on GenesisL1

Crotonobetainyl-CoA reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibam5hsrclx2fifk4af2bd7nc747ggmjvexrqy5yvvswolfotdozq/metadata.json

IPFS of structure file:

bafybeiecn3gyzkxyfs3suwnsiy2udiorgh5yk6emiwkattk4kgmp7hipyy/AF-B5R1R2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x91cB1A9982C8247E3BC25D698cCCD89D78d736B6

First NFT owner address (bech32):

genesis1j8934xvzeqj8uw7zt45cenxcn4udwd4kdxxe9s

Current NFT ID #49481 owner (web3):

0x91cB1A9982C8247E3BC25D698cCCD89D78d736B6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
49481
Accession (UniProt):
B5R1R2
Name::
Crotonobetainyl-CoA reductase
Experimental Method:
Predicted structure
Sequence source:
Salmonella enteritidis PT4 (strain P125109)

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 B5R1R2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5R1R2|CAIA_SALEP Crotonobetainyl-CoA reductase OS=Salmonella enteritidis PT4 (strain P125109) OX=550537 GN=caiA PE=3 SV=1 MDFNLNDEQELFVAGIRELMASENWEAYFAECDRDSVYPERFVKALADMGIDSLLIPEEHGGLEAGFVTVAAVWMELGRLGAPTYVLYQLPGGFNTFLREGTQEQIDKIMAFRGTGKQMWNSAITEPGAGSDVGSLKTTYTRKNGKVYLNGSKCFITSSAYTPYIVVMARDGASPDKPVYTEWFVDMSKAGIKVNKLEKLGLRMDSCCEITFDDVELDEKDMFGREGNGFNRVKEEFDHERFLVALTNYGTAMCAFEDAARYANQRVQFGEAIGRFQLIQEKFAHMAIKLNSMKNMLLEAAWKADNGTITSGDAAMCKYFCANAAFEVVDTAMQVLGGVGIAGNHRITRFWRDLRVDRVSGGSDEMQILTLGRAVLKQYR

B5R1R2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B5R1R2 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience