An Immobilized (Carbene)Nickel Catalyst for Water Oxidation.

The oxygen evolution reaction (OER) of water splitting is essential to electrochemical energy storage applications. While nickel electrodes are widely available heterogeneous OER catalysts, homogeneous nickel catalysts for OER are underexplored. Here we report two carbene-ligated nickel(II) complexes that are exceptionally robust and efficient homogeneous water oxidation catalysts. Remarkably, these novel nickel complexes can assemble a stable thin film onto a metal electrode through poly-imidazole bridges, making them supported heterogeneous electrochemical catalysts that are resilient to leaching and stripping. Unlike molecular catalysts and nanoparticle catalysts, such electrode-supported metal-complex catalysts for OER are rare and have the potential to inspire new designs. The electrochemical OER with our nickel-carbene catalysts exhibits excellent current densities with high efficiency, low Tafel slope, and useful longevity for a base metal catalyst. Our data show that imidazole carbene ligands stay bonded to the nickel(II) centers throughout the catalysis, which allows the facile oxygen evolution.

Inhibition of respiratory syncytial virus by Daclatasvir and its derivatives: synthesis of computational derivatives as a new drug development.

The most common cause of respiratory tract illness in newborns and young children is the respiratory syncytial virus (RSV). There is no approved vaccination or specific antiviral medication for RSV infections. Here, an attempt has been made to explore the potential of currently marketed drugs as well as their probable derivatives to improve the possibility of developing stronger medications against RSV. From the 100 synthetic drug compounds library, the best drug molecule was identified through drug-likeness properties, toxicity, molecular docking and molecular dynamics simulations. Molecular Mechanics Generalized Born Surface Area (MM-GBSA) was also a method that was applied in this study. Daclatasvir showed the highest binding energy and appeared as the best drug to inhibit matrix protein and a fusion protein of RSV. Based on Daclatasvir, 40 computational derivatives were made. D28, D34 and D40 showed far better results than the actual drug. Changes in lipophilicity character increase the binding energy of derivatives. Molecular dynamic simulations showed their non-deviated, non-fluctuated and stable complex formation with target proteins. The high number of amino acid contacts throughout the trajectory increases the stability and effectiveness of derivatives. The key to producing a novel medicine to eradicate RSV is provided by derivatives. Daclatasvir will be employed as a potential RSV inhibitor up until that point.Communicated by Ramaswamy H. Sarma.

A flexible model based on piecewise linear approximation for the analysis of left truncated right censored data with covariates, and applications to Worcester Heart Attack Study data and Channing House data.

Left truncated right censored (LTRC) data arise quite commonly from survival studies. In this article, a model based on piecewise linear approximation is proposed for the analysis of LTRC data with covariates. Specifically, the model involves a piecewise linear approximation for the cumulative baseline hazard function of the proportional hazards model. The principal advantage of the proposed model is that it does not depend on restrictive parametric assumptions while being flexible and data-driven. Likelihood inference for the model is developed. Through detailed simulation studies, the robustness property of the model is studied by fitting it to LTRC data generated from different processes covering a wide range of lifetime distributions. A sensitivity analysis is also carried out by fitting the model to LTRC data generated from a process with a piecewise constant baseline hazard. It is observed that the performance of the model is quite satisfactory in all those cases. Analyses of two real LTRC datasets by using the model are provided as illustrative examples. Applications of the model in some practical prediction issues are discussed. In summary, the proposed model provides a comprehensive and flexible approach to model a general structure for LTRC lifetime data.

Potentiality of bioactive compounds as inhibitor of M protein and F protein function of human respiratory syncytial virus.

The human respiratory syncytial virus (RSV) creates a pandemic every year in several countries in the world. Lack of target therapeutics and absence of vaccines have prompted scientists to create novel vaccines or small chemical treatments against RSV's numerous targets. The matrix (M) protein and fusion (F) glycoprotein of RSV are well characterized and attractive drug targets. Five bioactive compounds from Alnus japonica (Thunb.) Steud. were taken into consideration as lead compounds. Drug-likeness characters of them showed the drugs are non-toxic and non-mutagenic and mostly lipophobic. Molecular docking reveals that all bioactive compounds have better binding and better inhibitory effect than ribavirin which is currently used against RSV. Praecoxin A appeared as the best lead compound between them. It creates 7 different types of bonds with amino acids of M protein and 5 different types of bonds with amino acids of F protein. Van der Waals interactions highly influenced the binding energies. Molecular dynamic simulations represent the non-deviated and less fluctuating nature of praecoxin A. Principal Component Analysis showed praecoxin A complex with RSV matrix protein is more stable than ribavirin complex. This study will help to develop a new drug to inhibit RSV. All ligands were minimized through semi-empirical PM3 process with MOPAC. Toxicity was tested by ProTox-II server. Molecular docking studies were carried out using AutoDock 4.2. Molecular dynamics simulations for 100 ns were carried out through GROMACS 5.12 MD and GROMOS96 43a1 force field. The graphs were produced by GROMACS's XMGrace program.

Evaluation of substrate specificity and catalytic promiscuity of Bacillus albus cellulase: an insight into in silico proteomic study aiming at enhanced production of renewable energy.

Cellulases are enzymes that aid in the hydrolysis of cellulosic fibers and have a wide range of industrial uses. In the present in silico study, sequence alignment between cellulases from different Bacillus species revealed that most of the residues are conserved in those aligned enzymes. Three dimensional structures of cellulase enzymes from 23 different Bacillus species have been predicted and based on the alignment between the modeled structures, those enzymes have been categorized into 7 different groups according to the homology in their conformational folds. There are two structural contents in Gr-I cellulase namely ß1-α2 and ß3-α5 loops which varies greatly according to their static position. Molecular docking study between the B. albus cellulase and its various cellulosic substrates including xylanoglucan oligosaccharides revealed that residues viz. Phe154, Tyr258, Tyr282, Tyr285, and Tyr376 of B. albus cellulase are significantly involved in formation stacking interaction during enzyme-substrate binding. Residue interaction network and binding energy analysis for the B. albus cellulase with different cellulosic substrates depicted the strong affinity of XylGlc3 substrate with the receptor enzyme. Molecular interaction and molecular dynamics simulation studies exhibited structural stability of enzyme-substrate complexes which are greatly influenced by the presence of catalytic promiscuity in their substrate binding sites. Screening of B. albus in carboxymethylcellulose (CMC) and xylan supplemented agar media revealed the capability of the bacterium in degrading both cellulose and xylan. Overall, the study demonstrated B. albus cellulase as an effective biocatalyst candidate with the potential role of catalytic promiscuity for possible applications in biofuel industries.Communicated by Ramaswamy H. Sarma.

In silico comparative structural and compositional analysis of glycoproteins of RSV to study the nature of stability and transmissibility of RSV A.

The current scenario of COVID-19 makes us to think about the devastating diseases that kill so many people every year. Analysis of viral proteins contributes many things that are utterly useful in the evolution of therapeutic drugs and vaccines. In this study, sequence and structure of fusion glycoproteins and major surface glycoproteins of respiratory syncytial virus (RSV) were analysed to reveal the stability and transmission rate. RSV A has the highest abundance of aromatic residues. The Kyte-Doolittle scale indicates the hydrophilic nature of RSV A protein which leads to the higher transmission rate of this virus. Intra-protein interactions such as carbonyl interactions, cation-pi, and salt bridges were shown to be greater in RSV A compared to RSV B, which might lead to improved stability. This study discovered the presence of a network aromatic-sulphur interaction in viral proteins. Analysis of ligand binding pocket of RSV proteins indicated that drugs are performing better on RSV B than RSV A. It was also shown that increasing the number of tunnels in RSV A proteins boosts catalytic activity. This study will be helpful in drug discovery and vaccine development.

Threat of respiratory syncytial virus infection knocking the door: a proposed potential drug candidate through molecular dynamics simulations, a future alternative.

The discovery of antiviral approaches to prevent or cure respiratory syncytial virus (RSV) infections is critical, particularly because RSV is one of the most common causes of infant respiratory problems. There is currently no approved vaccination available to treat RSV infections. FDA has approved the drug ribavirin, but it is not sufficient to treat RSV. This work aimed to find and study in silico anti-RSV drugs that target matrix protein and nucleoprotein. In this study, we have identified five drug candidates that had better binding energies than ribavirin. Garenoxacin appeared as top lead compounds between them. AutoDock Vina was used to execute molecular docking of a library of chosen chemicals. The high-score compound was then confirmed using the Maestro 12.3 module's molecular dynamics simulation and the binding energies derived using Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA). Comparative molecular dynamics simulations revealed that garenoxacin has better stability and high residue contacts with high binding affinity than ribavirin. This study showed garenoxacin could prevent RSV infection better than ribavirin. In pursuing a more effective RSV control drug, additional research into these chemicals in vitro and in vivo is essential.

Study of potentiality of dexamethasone and its derivatives against Covid-19.

In December 2019, COVID-19 epidemic was reported in Wuhan, China, and subsequently the infection has spread all over the world and became pandemic. The death toll associated with the pandemic is increasing day by day in a high rate. Herein, an effort has been made to identify the potentiality of commercially available drugs and also their probable derivatives for creation of better opportunity to make more powerful drugs against coronavirus. This study involves the in-silico interactions of dexamethasone and its derivatives against the multiple proteins of SARS-CoV-2 with the help of various computational methods. Descriptor parameters revealed their non-toxic effect in the human body. Ultimately docking studies and molecular dynamic simulation on those target protein by dexamethasone and its derivatives showed a high binding energy. Dexamethasone showed -9.8 kcal/mol and its derivative D5 showed -12.1 kcal/mol binding energy. Those scores indicate that dexamethasone has more therapeutic effect on SARS CoV-2 than other currently used drugs. Derivatives give the clue for the synthesis of a novel drug to remove SARS CoV-2. Until then, dexamethasone will be used as a potential inhibitor of SARS CoV-2.Communicated by Ramaswamy H. Sarma.

Intra-protein interactions of SARS-CoV-2 and SARS: a bioinformatic analysis for plausible explanation regarding stability, divergency, and severity.

The current nightmare for the whole world is COVID-19. The occurrence of concentrated pneumonia cases in Wuhan city, Hubei province of China, was first reported on December 30, 2019. SARS-CoV first disclosed in 2002 but had not outspread worldwide. After 18 years, in 2020, it reemerged and outspread worldwide as SARS-CoV-2 (COVID-19), as the most dangerous virus-creating disease in the world. Is it possible to create a favorable evolution within the short time (18 years)? If possible, then what are those properties or factors that are changed in SARS-CoV-2 to make it undefeated? What are the fundamental differences between SARS-CoV-2 and SARS? The study is one of the initiatives to find out all those queries. Here, four types of protein sequences from SARS-CoV-2 and SARS were retrieved from the database to study their physicochemical and structural properties. Results showed that charged residues are playing a pivotal role in SARS-CoV-2 evolution and contribute to the helix stabilization. The formation of the cyclic salt bridge and other intra-protein interactions specially network aromatic-aromatic interaction also play the crucial role in SAS-CoV-2. This comparative study will help to understand the evolution from SARS to SARS-CoV-2 and helpful in protein engineering.

Discovery of Novel Cyclic Salt Bridge in Thermophilic Bacterial Protease and Study of its Sequence and Structure.

The plausible explanation behind the stability of thermophilic protein is still yet to be defined more clearly. Here, an in silico study has been undertaken by investigating the sequence and structure of protease from thermophilic (tPro) bacteria and mesophilic (mPro) bacteria. Results showed that charged and uncharged polar residues have higher abundance in tPro. In extreme environment, the tPro is stabilized by high number of isolated and network salt bridges. A novel cyclic salt bridge is also found in a structure of tPro. High number of metal ion-binding site also helps in protein stabilization of thermophilic protease. Aromatic-aromatic interactions also play a crucial role in tPro stabilization. Formation of long network aromatic-aromatic interactions also first time reported here. Finally, the present study provides a major insight with a newly identified cyclic salt bridge in the stability of the enzyme, which may be helpful for protein engineering. It is also used in industrial applications for human welfare.

Contributions of protein microenvironment in tannase industrial applicability: An in-silico comparative study of pathogenic and non-pathogenic bacterial tannase.

Tannase is an inducible industrially important enzyme, produced by several microorganisms. A large number of bacteria have reported as tannase producers; however, some of them are pathogenic in nature. Therefore, it is quite uncertain whether the application of these tannase enzymes from such pathogenic bacteria is suitable for industries and human welfare. Till date, there is no clear evidence regarding which group of bacteria (non-pathogenic or pathogenic) is better suited for their application in the edge of industries with particular reference to the food industry. The present study is following the findings of the above queries. In this study, a large number of tannase protein sequences have been retrieved from the databases, including both non-pathogenic and pathogenic bacterial species. Physiochemical and evolutionary properties of those sequences have been evaluated. Results have shown that non-pathogenic bacterial tannase possesses a high number of acidic and basic amino acid residues as compared to their pathogenic counterparts. The acidic and basic amino acid residues of tannase provide unique microenvironment to it. In the other hand, the numbers of disorder forming residues are higher in tannase sequences of pathogenic bacteria. The study of tannase microenvironment leads in the formation of salt bridges, which finally favoring the stability and proper functioning of tannase. This is the first report of such observation on tannase enzyme using in silico approach. Study of the microenvironment concept will be helpful in protein engineering.

Analysis of interval-censored competing risks data under missing causes.

In this article, interval-censored competing risks data are analyzed when some of the causes of failure are missing. The vertical modeling approach has been proposed here. This approach utilizes the data to extract information to the maximum possible extent especially when some causes of failure are missing. The maximum likelihood estimates of the model parameters are obtained. The asymptotic confidence intervals for the model parameters are constructed using approaches based on observed Fisher information matrix, and parametric bootstrap. A simulation study is considered in detail to assess the performance of the point and interval estimators. It is observed that the proposed analysis performs better than the complete case analysis. This establishes the fact that the our methodology is an extremely useful technique for interval-censored competing risks data when some of the causes of failure are missing. Such analysis seems to be quite useful for smaller sample sizes where complete case analysis may have a significant impact on the inferential procedures. Through Monte Carlo simulations, the effect of a possible model misspecification is also assessed on the basis of the cumulative incidence function. For illustration purposes, three datasets are analyzed and in all cases the conclusion appears to be quite realistic.

Structural insights from water-ferredoxin interaction in mesophilic algae and halophilic archaea.

We analyzed the water-ferredoxin interaction in mesophilic (moderate temperature) algae (PDB ID: 1AWD) and halophilic (salt-tolerant) archaea (PDB ID: 1DOI) using POWAIND version 2.0 (a protein-water interactions calculation program). It is found that the shell water (SW) is 2.5 fold greater in halophilic ferredoxin than mesophilic ferredoxin. Water-ferredoxin interactions in the core and cavity are the signature of stability. The normalized frequency of such interactions is less in halophilic relative to mesophilic ferredoxin and the halophilic signature for stability by such interactions is negligible. However, the surface dominated with such interactions seems to be important for ferredoxin and oxido-reductase recognition.

Insights from the salt bridge analysis of malate dehydrogenase from H. salinarum and E.coli.

Halophilic proteins have greater abundance of acidic over basic residues in sequence. In structure, the surface is decorated by negative charges, with lower content of Lysine. Using sequence BLOCKs and 3D model of malate dehydrogenase from halophilic archaea (Halobacterium salinarum; hsMDH) and X-ray structure from mesophilic bacteria (E. coli; ecMDH), we show that not only acidic and basic residues have higher mean relative abundance (MRA) and thus, impart higher polarity to the sequences, but also show their presence in the surface of the structure of hsMDH relative to its mesophilic counterpart. These observations may indicate that both the acidic and the basic residues have a concerted role in the stability of hsMDH. Analysis on salt bridges from hsMDH and ecMDH show that in the former, salt bridges are highly intricate, newly engineered and global in nature. Although, these salt bridges are abundant in hsMDH, in the active site the design remains unperturbed. In high salt where hydrophobic force is weak, these salt bridges seem to play a major role in the haloadaptation of the tertiary structure of hsMDH. This is the first report of such an observation.

Stability of buried and networked salt-bridges (BNSB)in thermophilic proteins.

Thermophilic proteins function at high temperature, unlike mesophilic proteins. Thermo-stability of these proteins is due to the unique buried and networked salt-bridge (BNSB). However, it is known that the desolvation cost of BNSB is too high compared to other favorable energy terms. Nonetheless, it is known that stability is provided generally by hydrophobic isosteres without the need for BNSB. We show in this analysis that the BNSB is the optimal evolutionary design of salt-bridge to offset desolvation cost efficiently. Hence, thermophilic proteins with a high level of BNSB provide thermo-stability.

Analysis of salt-bridges in prolyl oligopeptidase from Pyrococcus furiosus and Homo sapiens.

Hyper thermophilic archaea not only tolerate high temperature but also operate its biochemical machineries, normally under these conditions. However, the structural signatures in proteins that answer for the hyper thermo-stability relative to its mesophilic homologue remains poorly understood. We present comparative analyses of sequences, structures and salt-bridges of prolyl-oligopeptidase from Pyrococcus furiosus (pfPOP - PDB ID: 5T88) and human (huPOP - PDB ID: 3DDU). A similar level of hydrophobic and hydrophilic residues in pfPOP and huPOP is observed. A low level of interactions between shell-waters and atom-types in pfPOP indicated hyper thermophilic features are negligible. Salt-bridge-forming-residues (sbfrs) are high in pfPOP's core and surface (pfPOP). Increased sbfrs largely indicate specific-electrostatic is important for thermo stability in pfPOP. Four classes of sbfrs are found namely positionally non-conservative (PNCS), conservative (PCS), unchanged (PU) and interchanged (PIC) type of substitutions. PNCS-sbfrs constitutes 28% and it is associated with the topology of pfPOP at high temperature. PCS helps to increase the salt-bridge population. It is also found that PU maintains similar salt-bridges at the active site and other binding sites while PIC abolishes mesophilic patterns.

PROPAB: Computation of Propensities and Other Properties from Segments of 3D structure of Proteins.

Residues in allelic positions, in the local segment of aligned sequences of proteins show wide variations. Here, we describe PROPAB that computes the propensity tables for helix, strand and coil types from multiple 3D structure files following ab initio statistical procedure. It also classifies them in range specific and chain specific manners. It further computes percentage composition and physicochemical properties along with residues propensities. It also prepares FASTA files for different segments (helix, strand and coil) in the exact order that they follow in the sequence. Representative analyses on orthologous (homologous across species) proteins demonstrate wide segmental variations of physicochemical properties. Such variations provide insights to relate the adaptation of these proteins in a given functional constraint under diverse environmental conditions. Thus, the program finds applications in the structural and evolutionary analysis of proteins. AVAILABILITY: PROPAB is freely available at http://sourceforge.net/projects/propab/for worldwide user.

AUTOMINv1.0: an automation for minimization of Protein Data Bank files and its usage.

Global minimal structure of protein/enzyme is energetically compromised that maintains an intricate balance between the rigidity and the flexibility. Such a state makes it interactive to its ligand molecules. Although protein data bank files (PDB) may have achieved the state, in many situations minimization has been crucial to overcome unwanted steric clashes, and other conformational strains. It is more so, when orthologous PDB structures that are intended in a given study, show variations in resolution, R-factor, shell-water contents, loop characteristics etc. Here, a fully automated procedure of minimization would be highly useful. AUTOMINv1.0 is such an automation of minimization that runs on any number of structure files with any number of chains in them along with the inclusion of selective/non-selective shell-waters interacting with polar and or non-polar atom-types of protein. Comparison of the mean binaryitems of salt-bridges of minimized and un-minimized structures (chains > 100) of nucleoside diphosphate kinase from mimi virus shows dramatic improvements in the earlier. Again, the mean steric clashes of 2AZ3.pdb are reduced upon minimization. Remarkably, the observed steric clashes between shell-waters and atom-types of protein are seen to be removed upon minimization. Taken together, AUTOMINv1.0 is an automation of minimization that finds applications in structural bioinformatics.

POWAINDv1.0: A Program for Protein-Water Interactions Determination.

Protein is the most exposed biomolecule in the aqueous environment of the cell. Its structure maintains a delicate balance between the rigidity and the flexibility that imparts binding specificity to its substrate/ligand, etc. Intramolecular interactions of polar and non-polar groups of amino acid residues and intermolecular weak interactions between these groups and shell-waters may contribute to the overall stability of the tertiary structure. However, the question as to what are the dynamics of interactions of shell-water with respect to weak forces and atom-groups of protein (AGP), requires systematic investigations. In this end, we have developed a procedure POWAINDv1.0 that analyzes interactions of crystallographic shell-waters (CSH) in residues and AGP specific manner. The shell-water and AGP specific bridge-interactions are also extracted. Further, the program analyzes favorable and unfavorable nature of each interaction based on the actual and 75% of the sum of van der Waals (vdW) radii of interacting atoms. The EXCEL-outputs are useful in understanding the profile for AGP-CSH interactions and contribution of each component in AGP. Taken together, the program provides intricate details on CSHprotein interactions and finds application in the structural Bioinformatics.