Insights on the disruption of the complex between human positive coactivator 4 and p53 by small molecules.

Interaction between human positive coactivator 4 (PC4), an abundant nuclear protein, and the tumor suppressor protein p53 plays a crucial role in initiating apoptosis. In certain neurodegenerative diseases PC4 assisted-p53-dependent apoptosis may play a central role. Thus, disruption of p53-PC4 interaction may be a good drug target for certain disease pathologies. A p53-derived short peptide (AcPep) that binds the C-terminal domain of PC4 (C-PC4) is known to disrupt PC4-p53 interaction. To fully characterize its binding mode and binding site on PC4, we co-crystallized C-PC4 with the peptide and determined its structure. The crystal, despite exhibiting mass spectrometric signature of the peptide, lacked peptide electron density and showed a novel crystal lattice, when compared to C-PC4 crystals without the peptide. Using peptide-docked models of crystal lattices, corresponding to our structure and the peptide-devoid structure we show the origin of the novel crystal lattice to be dynamically bound peptide at the previously identified putative binding site. The weak binding is proposed to be due to the lack of the N-terminal domain of PC4 (N-PC4), which we experimentally show to be disordered with no effect on PC4 stability. Taking cue from the structure, virtual screening of ∼18.6 million small molecules from the ZINC15 database was performed, followed by toxicity and binding free energy filtering. The novel crystal lattice of C-PC4 in presence of the peptide, the role of the disordered N-PC4 and the high throughput identification of potent small molecules will allow a better understanding and control of p53-PC4 interaction.

The natural way forward: Molecular dynamics simulation analysis of phytochemicals from Indian medicinal plants as potential inhibitors of SARS-CoV-2 targets.

The pandemic COVID-19 has become a global panic-forcing life towards a compromised "new normal." Antiviral therapy against SARS-CoV-2 is still lacking. Thus, development of natural inhibitors as a prophylactic measure is an attractive strategy. In this context, this work explored phytochemicals as potential inhibitors for SARS-CoV-2 by performing all atom molecular dynamics simulations using high performance computing for 8 rationally screened phytochemicals from Withania somnifera and Azadirachta indica and two repurposed drugs docked with the spike glycoprotein and the main protease of SARS-CoV-2. These phytochemicals were rationally screened from 55 Indian medicinal plants in our previous work. MM/PBSA, principal component analysis (PCA), dynamic cross correlation matrix (DCCM) plots and biological pathway enrichment analysis were performed to reveal the therapeutic efficacy of these phytochemicals. The results revealed that Withanolide R (-141.96 KJ/mol) and 2,3-Dihydrowithaferin A (-87.60 KJ/mol) were with the lowest relative free energy of binding for main protease and the spike proteins respectively. It was also observed that the phytochemicals exhibit a remarkable multipotency with the ability to modulate various human biological pathways especially pathways in cancer. Conclusively we suggest that these compounds need further detailed in vivo experimental evaluation and clinical validation to implement them as potent therapeutic agents for combating SARS-CoV-2.

Multifactorial level of extremostability of proteins: can they be exploited for protein engineering?

Research on extremostable proteins has seen immense growth in the past decade owing to their industrial importance. Basic research of attributes related to extreme-stability requires further exploration. Modern mechanistic approaches to engineer such proteins in vitro will have more impact in industrial biotechnology economy. Developing a priori knowledge about the mechanism behind extreme-stability will nurture better understanding of pathways leading to protein molecular evolution and folding. This review is a vivid compilation about all classes of extremostable proteins and the attributes that lead to myriad of adaptations divulged after an extensive study of 6495 articles belonging to extremostable proteins. Along with detailing on the rationale behind extreme-stability of proteins, emphasis has been put on modern approaches that have been utilized to render proteins extremostable by protein engineering. It was understood that each protein shows different approaches to extreme-stability governed by minute differences in their biophysical properties and the milieu in which they exist. Any general rule has not yet been drawn regarding adaptive mechanisms in extreme environments. This review was further instrumental to understand the drawback of the available 14 stabilizing mutation prediction algorithms. Thus, this review lays the foundation to further explore the biophysical pleiotropy of extreme-stable proteins to deduce a global prediction model for predicting the effect of mutations on protein stability.

An insight into plant lipase research - challenges encountered.

Lipases from bacterial, fungal, and animal sources have been purified to homogeneity with very few of them being contributed from plants. Plant lipases are mostly found in energy reserve tissues, for example, oilseeds. They act as biocatalysts which are attractive due to their high substrate specificity, low production cost and easy pharmacological acceptance due to their eukaryotic origin. Hence plant lipases represent better potential for commercial applications in organic synthesis, food, detergent and pharmacological industries. However, low expression, uneconomical fold purity and the plethora of difficulties related to their recombinant expression has been limiting their commercial applicability and posing challenges to many researchers. This article focuses on comprehensive approaches that have been reported to date to address these challenges.

In silico characterization of thermostable lipases.

Thermostable lipases are of high priority for industrial applications as they are endowed with the capability of carrying out diversified reactions at elevated temperatures. Extremophiles are their potential source. Sequence and structure annotation of thermostable lipases can elucidate evolution of lipases from their mesophilic counterparts with enhanced thermostability hence better industrial potential. Sequence analysis highlighted the conserved residues in bacterial and fungal thermostable lipases. Higher frequency of AXXXA motif and poly Ala residues in lid domain of thermostable Bacillus lipases were distinguishing characteristics. Comparison of amino acid composition among thermostable and mesostable lipases brought into light the role of neutral, charged and aromatic amino acid residues in enhancement of thermostability. Structural annotation of thermostable lipases with that of mesostable lipases revealed some striking features which are increment of gamma turns in thermostable lipases; being first time reported in our paper, longer beta strands, lesser beta-branched residues in helices, increase in charged-neutral hydrogen bonding pair, hydrophobic-hydrophobic contact and differences in the N-cap and C-cap residues of the α helices. Conclusively, it can be stated that subtle changes in the arrangement of amino acid residues in the tertiary structure of lipases contributes to enhanced thermostability.

Nature's therapy for COVID-19: Targeting the vital non-structural proteins (NSP) from SARS-CoV-2 with phytochemicals from Indian medicinal plants.

Background: Containing COVID-19 is still a global challenge. It has affected the "normal" world by targeting its economy and health sector. The effect is shifting of focus of research from life threatening diseases like cancer. Thus, we need to develop a medical solution at the earliest. The purpose of this present work was to understand the efficacy of 22 rationally screened phytochemicals from Indian medicinal plants obtained from our previous work, following drug-likeness properties, against 6 non-structural-proteins (NSP) from SARS-CoV-2. Methods: 100 ns molecular dynamics simulations were performed, and relative binding free energies were computed by MM/PBSA. Further, principal component analysis, dynamic cross correlation and hydrogen bond occupancy were analyzed to characterize protein-ligand interactions. Biological pathway enrichment analysis was also carried out to elucidate the therapeutic targets of the phytochemicals in comparison to SARS-CoV-2. Results: The potential binding modes and favourable molecular interaction profile of 9 phytochemicals, majorly from Withania somnifera with lowest free binding energies, against the SARS-CoV-2 NSP targets were identified. It was understood that phytochemicals and 2 repurposed drugs with steroidal moieties in their chemical structures formed stable interactions with the NSPs. Additionally, human target pathway analysis for SARS-CoV-2 and phytochemicals showed that cytokine mediated pathway and phosphorylation pathways were with the most significant p-value. Conclusions: To summarize this work, we suggest a global approach of targeting multiple proteins of SARS-CoV-2 with phytochemicals as a natural alternative therapy for COVID-19. We also suggest that these phytochemicals need to be tested experimentally to confirm their efficacy.

A collective motion description of tubulin ßT7 loop dynamics.

Tubulin is a hetero-dimeric protein that polymerizes into microtubules and facilitates, among other things, eukaryotic cell division. Thus, any agent that interferes with tubulin polymerization is of therapeutic interest, vis-à-vis cancer. For example, colchicine is known to prevent tubulin polymerization by binding at the heterodimeric interface of αß-tubulin. Crystal structures of tubulin bound to colchicine have shown that the dynamical conformation of a loop (ßT7) plays an important role in colchicine binding. The ßT7 loop dynamics also plays an important role in yielding curved versus straight αß-tubulin dimers, only the latter being compatible with the microtubule assembly. Understanding the molecular mechanism of inhibition of microtubule assembly can lead to development of better therapeutic agents. In this work we were able to capture the ßT7 loop flip by performing 200 ns molecular dynamics simulation of ligand-free αß-tubulins. The loop flip could be described by only two independent collective vectors, obtained from principal component analysis. The first vector describes the flip while the second vector describes the trigger. The collective variables identified in this work is a natural reaction coordinate for functionally important tubulin dynamics, which allowed us to describe in detail the interaction network associated with the flip and the overall straight/curved conformational equilibrium.

RankProt: A multi criteria-ranking platform to attain protein thermostabilizing mutations and its in vitro applications - Attribute based prediction method on the principles of Analytical Hierarchical Process.

Attaining recombinant thermostable proteins is still a challenge for protein engineering. The complexity is the length of time and enormous efforts required to achieve the desired results. Present work proposes a novel and economic strategy of attaining protein thermostability by predicting site-specific mutations at the shortest possible time. The success of the approach can be attributed to Analytical Hierarchical Process and the outcome was a rationalized thermostable mutation(s) prediction tool- RankProt. Briefly the method involved ranking of 17 biophysical protein features as class predictors, derived from 127 pairs of thermostable and mesostable proteins. Among the 17 predictors, ionic interactions and main-chain to main-chain hydrogen bonds were the highest ranked features with eigen value of 0.091. The success of the tool was judged by multi-fold in silico validation tests and it achieved the prediction accuracy of 91% with AUC 0.927. Further, in vitro validation was carried out by predicting thermostabilizing mutations for mesostable Bacillus subtilis lipase and performing the predicted mutations by multi-site directed mutagenesis. The rationalized method was successful to render the lipase thermostable with optimum temperature stability and Tm increase by 20°C and 7°C respectively. Conclusively it can be said that it was the minimum number of mutations in comparison to the number of mutations incorporated to render Bacillus subtilis lipase thermostable, by directed evolution techniques. The present work shows that protein stabilizing mutations can be rationally designed by balancing the biophysical pleiotropy of proteins, in accordance to the selection pressure.

Significance of Lipolytic Enzymes in Pathogenesis and Treatment of Neglected Diseases.

Neglected diseases are infectious diseases that affect poor people of tropical countries. Drug resistance, lower availability of funds and research hinder the opportunities for the development of new drugs. The need for new drugs will persist until pathogens are eradicated. This calls for understanding the disease prognosis to initiate research for new drug targets and thus development of new drugs. As drug development is complex and expensive process, in silico drug development can aid in this regard by reducing time, effort and capital for the quest of a "better drug" for such neglected diseases. Recent knowledge about the genome and proteome has increased enthusiasm for the quest of new drug targets. One such potential target can be lipases which are involved in the lipid metabolism of pathogens. Lipases of pathogens have multitude of functions in many patho-physiological processes including virulence, transmission, life cycle development, modulation of host lipids and host immune responses. Thus the aim of this review is to describe the significance of lipases in the life cycle and pathogenesis of the pathogen and whether they can be used as drug targets. The development of research in this direction has also been brought forward. This may help in finding new drug targets for neglected disease.

Unraveling the rationale behind organic solvent stability of lipases.

Organic solvent-stable lipases have pronounced impact on industrial economy as they are involved in synthesis by esterification, interesterification, and transesterification. However, very few of such natural lipases have been isolated till date. A study of the recent past provided few pillars to rely on for this work. The three-dimensional structure, inclusive of the surface and active site, of 29 organic solvent-stable lipases was analyzed by subfamily classification and protein solvent molecular docking based on fast Fourier transform correlation approach. The observations revealed that organic solvent stability of lipases is their intrinsic property and unique with respect to each lipase. In this paper, factors like surface distribution of charged, hydrophobic, and neutral residues, interaction of solvents with catalytically immutable residues, and residues interacting with essential water molecules required for lipase activity, synergistically and by mutualism contribute to render a stable lipase organic solvent. The propensity of surface charge in relation to stability in organic solvents by establishing repulsive forces to exclude solvent molecules from interacting with the surface and prohibiting the same from gaining entry to the protein core, thus stabilizing the active conformation, is a new finding. It was also interesting to note that lipases having equivalent surface-exposed positive and negative residues were stable in a wide range of organic solvents, irrespective of their LogP values.