Q60BU2 Phosphoribosylformylglycinamidine cyclo-ligase MolNFT, Molecular NFT on GenesisL1

Phosphoribosylformylglycinamidine cyclo-ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiepfncfc7rhn6nhyjojacyygzva5xidbilyh72xxbpqsk6kuwvaeq/metadata.json

IPFS of structure file:

bafybeigj3zzruy27wwa3guuecdp77ojpjnn2sk3yw4cwhvuob7fhwxqnka/AF-Q60BU2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x0cf0de7C33C7d40E89b93615e67E93838e943754

First NFT owner address (bech32):

genesis1pncdulpncl2qazdexc27vl5nsw8fgd65yak4mx

Current NFT ID #320884 owner (web3):

0x2ea681d9082FbcfC3DbDFec5C526D20Eca498da6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
320884
Accession (UniProt):
Q60BU2
Name::
Phosphoribosylformylglycinamidine cyclo-ligase
Experimental Method:
Predicted structure
Sequence source:
METHYLOCOCCUS CAPSULATUS (STRAIN ATCC 33009 / NCIMB 11132 / BATH)

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 Q60BU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q60BU2|PUR5_METCA Phosphoribosylformylglycinamidine cyclo-ligase OS=Methylococcus capsulatus (strain ATCC 33009 / NCIMB 11132 / Bath) OX=243233 GN=purM PE=3 SV=1 MKTENPLSFDYKSAGVDIAAGNALVERIKPAARKTVRPGVLAGLGGFGSLFELPVDRYRKPVLVAGTDGVGTKLRLAIESGRHGGVGIDLVAMCANDIVVQGAEPLFFLDYYATGKLDVDVAASVIAGIAQGCERAGCALVGGETAEMPGMYAGGDYDLAGFCVGVVEKEAIIDGSRVRPGDRLIGLASSGPHSNGYSLIRKIVGHSGLGLDAPVAGRALGDWLLEPTRIYVKPLLELLKSVEVHALAHITGGGITENLPRVLPVGTAARIDTAAWTMPEIFRWLQRHGGVETPEMFRTFNCGVGMIVCVAPEDEARTLEALSSLGERAFAVGEIIAGEPAVHYV

Q60BU2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q60BU2 research and analysis (ICN3D with VR)

FASTA sequences

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