Double mutant Plasmodium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS-K1, C59R+S108N) complexed with Trimethoprim (TOP), NADPH and dUMPDouble mutant Plasmodium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS-K1, C59R+S108N) complexed with Trimethoprim (TOP), NADPH and dUMP

Structural highlights

7f3z is a 2 chain structure with sequence from Plasmodium falciparum. Full crystallographic information is available from OCA. For a guided tour on the structure components use FirstGlance.
Method:X-ray diffraction, Resolution 2.6Å
Ligands:, , ,
Resources:FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT

Function

DRTS_PLAFK Bifunctional enzyme. Involved in de novo dTMP biosynthesis. Key enzyme in folate metabolism. Catalyzes an essential reaction for de novo glycine and purine synthesis, DNA precursor synthesis, and for the conversion of dUMP to dTMP.[HAMAP-Rule:MF_00008]

Publication Abstract from PubMed

The MANORAA platform uses structure-based approaches to provide information on drug design originally derived from mapping tens of thousands of amino acids on a grid. In-depth analyses of the pockets, frequently occurring atoms, influential distances, and active-site boundaries are used for the analysis of active sites. The algorithms derived provide model equations that can predict whether changes in distances, such as contraction or expansion, will result in improved binding affinity. The algorithm is confirmed using kinetic studies of dihydrofolate reductase (DHFR), together with two DHFR-TS crystal structures. Empirical analyses of 881 crystal structures involving 180 ligands are used to interpret protein-ligand binding affinities. MANORAA links to major biological databases for web-based analysis of drug design. The frequency of atoms inside the main protease structures, including those from SARS-CoV-2, shows how the rigid part of the ligand can be used as a probe for molecular design (http://manoraa.org).

MANORAA: A machine learning platform to guide protein-ligand design by anchors and influential distances.,Tanramluk D, Pakotiprapha D, Phoochaijaroen S, Chantravisut P, Thampradid S, Vanichtanankul J, Narupiyakul L, Akavipat R, Yuvaniyama J Structure. 2022 Jan 6;30(1):181-189.e5. doi: 10.1016/j.str.2021.09.004. Epub 2021, Oct 5. PMID:34614393[1]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

References

  1. Tanramluk D, Pakotiprapha D, Phoochaijaroen S, Chantravisut P, Thampradid S, Vanichtanankul J, Narupiyakul L, Akavipat R, Yuvaniyama J. MANORAA: A machine learning platform to guide protein-ligand design by anchors and influential distances. Structure. 2022 Jan 6;30(1):181-189.e5. doi: 10.1016/j.str.2021.09.004. Epub 2021, Oct 5. PMID:34614393 doi:http://dx.doi.org/10.1016/j.str.2021.09.004

7f3z, resolution 2.60Å

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