Molecular Dynamics Information Improves cis-Peptide-Based Function Annotation of Proteins

Inferring metal binding sites in flexible regions of proteins

Metal ions are central to the molecular function of many proteins. Thus their knowledge in experimentally determined structure is important; however, such structures often lose bound metal ions during sample preparation. Identification of these metal-binding site(s) becomes difficult when the receptor is novel and/or their conformations differ in the bound/unbound states. Locating such sites in theoretical models also poses a challenge due to the uncertainties with side-chain modeling. We address the problem by employing the Geometric Hashing algorithm to create a template library of functionally important binding sites and match query structures with the available templates. The matching is done on the structure ensemble obtained from coarse-grained molecular dynamics simulation, where metal-specific amino acids are screened to infer the true site. Test on 1347 non-redundant monomer protein structures show that Ca²⁺ , Zn²⁺ , Mg²⁺ , Cu²⁺ , and Fe³⁺ binding site residues can be classified at 0.92, 0.95, 0.80, 0.90, and 0.92 aggregate performance (out of 1) across all possible thresholds. The performance for Ca²⁺ and Zn²⁺ is notably superior in comparison to state-of-the-art methods like IonCom and MIB. Specific case studies show that additionally predicted metal-binding site residues in proteins have features necessary for ion binding. These include new sites not predicted by other methods. The use of coarse-grained dynamics thus provides a generalized approach to improve metal-binding site prediction. The work is expected to contribute to improving our ability to correctly predict protein molecular function where knowledge of metal binding is a key requirement.

Exploring the use of molecular dynamics in assessing protein variants for phenotypic alterations

With the advent of rapid sequencing technologies, making sense of all the genomic variations that we see among us has been a major challenge. A plethora of algorithms and methods exist that try to address genome interpretation through genotype-phenotype linkage analysis or evaluating the loss of function/stability mutations in protein. Critical Assessment of Genome Interpretation (CAGI) offers an exceptional platform to blind-test all such algorithms and methods to assess their true ability. We take advantage of this opportunity to explore the use of molecular dynamics simulation as a tool to assess alteration of phenotype, loss of protein function, interaction, and stability. The results show that coarse-grained dynamics based protein flexibility analysis on 34 CHEK2 and 1719 CALM1 single mutants perform reasonably well for class-based predictions for phenotype alteration and two-thirds of the predicted scores return a correlation coefficient of 0.6 or more. When all-atom dynamics is used to predict altered stability due to mutations for Frataxin protein (8 cases), the predictions are comparable to the state-of-the-art methods. The competitive performance of our straightforward approach to phenotype interpretation contrasts with heavily trained machine learning approaches, and open new avenues to rationally improve genome interpretation.

Identification and computational characterization of isomers with cis and trans amide bonds in folate and its analogues

Folate and its synthetic analogues, called antifolates, are known to have diverse bio-applications, for example as cell proliferation stimulators or anticancer drugs. Their molecular structure is important for performing the required biological activity. Since all folate-derived ligands contain a peptide-like amide bond, its configuration is one of the key components for the functional fitness of such compounds. During the modelling of folate and three of its derivatives - methotrexate, 5-methyl tetrahydrofolate, and pteroyl ornithine, we registered significant population of the cis isomers along the amide bond. The properties of the cis and trans forms of the ligands in saline are studied in detail by classical atomistic molecular dynamics and by quantum chemical methods. The calculations predict high probability for coexistence of the cis isomers for two of the ligands. The energetic instability of the cis form is explained with a σ-character admixture into the C[double bond, length as m-dash]O(π) bond, while its magnitude is attributed to the pattern of local electron density redistribution. The cis forms of all molecules have markedly slower structural dynamics than the trans ones, which might affect their behavior in vivo.