Q32CI3 2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase MolNFT, Molecular NFT on GenesisL1

2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibyysuzkg7rkzv2yoht4fkvqxy4ba7stim7otw73mydu4lcga76eq/metadata.json

IPFS of structure file:

bafybeibnqxv3zj7gc4cmkjuduqv67pv2jrwkmvbvg7f7aqvsmo5mqologi/AF-Q32CI3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9fd4A2A02913F236a68052054387e7b782a8d58e

First NFT owner address (bech32):

genesis1nl229gpfz0erdf5q2gz58pl8k7p234vwwhlg2w

Current NFT ID #193223 owner (web3):

0x2ea681d9082FbcfC3DbDFec5C526D20Eca498da6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
193223
Accession (UniProt):
Q32CI3
Name::
2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32CI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32CI3|ISPD_SHIDS 2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=ispD PE=3 SV=1 MATTHLDVCAVVPAAGFGRRMQTECPKQYLSIGNQTILEHSVHALLAHPRVKRVVIAISPGDSRFAQLPLANHPQITVVDGGDERADSVLAGLKAAGDAQWVLVHDAARPCLHQDDLARLLALSETSRTGGILAAPVRDTMKRAEPGKNAIAHTVDRNGLWHALTPQFFPRELLHDCLTRALNEGATITDEASALEYCGFHPQLVEGRADNIKVTRPEDLALAEFYLTRTIHQENT

Q32CI3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q32CI3 research and analysis (ICN3D with VR)

FASTA sequences

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