Finding identical sequence repeats in multiple protein sequences: An algorithm.

In recent years, several experimental evidences suggest that amino acid repeats are closely linked to many disease conditions, as they have a significant role in evolution of disordered regions of the polypeptide segments. Even though many algorithms and databases were developed for such analysis, each algorithm has some caveats, like limitation on the number of amino acids within the repeat patterns and number of query protein sequences. To this end, in the present work, a new method called the internal sequence repeats across multiple protein sequences (ISRMPS) is proposed for the first time to identify identical repeats across multiple protein sequences. It also identifies distantly located repeat patterns in various protein sequences. Our method can be applied to study evolutionary relationships, epitope mapping, CRISPR-Cas sequencing methods, and other comparative analytical assessments of protein sequences.

A novel search engine for proteins involved in Notch crosstalk signaling pathways.

To regulate biological activity in humans, the Notch signaling pathway (NSP) plays an essential role in a wide array of cellular development and differentiation process. In recent years, many studies have reported that aberrant activation of Notch is associated with the tumor process; but no appropriate database exists to fill this significant gap. To address this, we created a pioneering database NCSp, which is open access and comprises intercommunicating pathways and related protein mutations. This allows scientists to understand better the cause of single amino acid mutations in proteins. Therefore, NCSp provides information on the predicted functional effect of human protein mutations, which aids in understanding the importance of mutations linked to the Notch crosstalk signaling pathways in cancerous and non-cancerous systems. This database might be helpful for therapeutic mutation analysis, molecular biology, and structural biology researchers. The NCSp database can be accessed through https://bioserver3.physics.iisc.ac.in/cgi-bin/nccspd/.

Functional characterization of a hypothetical protein (TTHA1873) from Thermus thermophilus.

Thermus thermophilus is an extremely thermophilic organism that thrives at a temperature of 65°C. T. thermophilus genome has ~2218 genes, out of which 66% (1482 genes) have been annotated, and the remaining 34% (736 genes) are assigned as hypothetical proteins. In this work, biochemical and biophysical experiments were performed to characterize the hypothetical protein TTHA1873 from T. thermophilus. The hypothetical protein TTHA1873 acts as a nuclease, which indiscreetly cuts methylated and non-methylated DNA in divalent metal ions and relaxes the plasmid DNA in the presence of ATP. The chelation of metal ions with EDTA inhibits its activity. These results suggest that the hypothetical protein TTHA1873 would be a CRISPR-associated protein with non-specific DNase activity and ATP-dependent DNA-relaxing activity.

In vitro and in silico perspectives to explain anticancer activity of a novel syringic acid analog ((4-(1H-1, 3-benzodiazol-2-yl)-2, 6-dimethoxy phenol)) through apoptosis activation and NFkB inhibition in K562 leukemia cells.

Syringic acid (SA) is an active carcinogenesis inhibitor; however, the low bioavailability and unstable functional groups hinder its activity. Here, a chemically synthesized novel SA analog (SA10) is evaluated for its anticancer activity using in-vitro and in-silico studies. K562 cell line study revealed that SA10 had shown a higher rate of inhibition (IC50 = 50.40 µg/mL) than its parental compound, SA (IC50 = 96.92 µg/mL), at 50 µM concentration. The inhibition ratio was also been evaluated by checking the expression level of NFkB and Bcl-2 and showing that SA10 has two-fold increase in the inhibitory mechanism than SA. This result demonstrates that SA10 acts as an NFkB inhibitor and an apoptosis inducer. Further, molecular docking and simulation have been performed to get insights into the possible inhibitory mechanism of SA and SA10 on NFkB at the atomistic level. The molecular docking results exemplify that both SA and SA10 bind to the active site of NFkB, thereby interfering with the association between DNA and NFkB. SA10 exhibits a more robust binding affinity than SA and is firmly docked well into the interior of the NFkB, as confirmed by MM-PBSA calculations. In a nutshell, the Benzimidazole scaffold containing SA10 has shown more NFkB inhibitory activity in K562 cells than SA, which could be helpful as an ideal therapeutic NFkB inhibitor for treating cancers.

K-nearest-neighbor algorithm to predict the survival time and classification of various stages of oral cancer: a machine learning approach.

Background:For years now, cancer treatments have entailed tried-and-true methods. Yet, oncologists and clinicians recommend a series of surgeries, chemotherapy, and radiation therapy. Yet, even amidst these treatments, the number of deaths due to cancer increases at an alarming rate. The prognosis of cancer patients is influenced by mutations, age, and various cancer stages. However, the association between these variables is unclear. Methods: The present work adopts a machine learning technique-k-nearest neighbor; for both regression and classification tasks, regression for predicting the survival time of oral cancer patients, and classification for classifying the patients into one of the predefined oral cancer stages. Two cross-validation approaches-hold-out and k-fold methods-have been used to examine the prediction results. Results: The experimental results show that the k-fold method performs better than the hold-out method, providing the least mean absolute error score of 0.015. Additionally, the model classifies patients into a valid group. Of the 429 records, 97 (out of 106), 99 (out of 119), 95 (out of 113), and 77 (out of 91) were classified to its correct label as stages - 1, 2, 3, and 4. The accuracy, recall, precision, and F-measure for each classification group obtained are 0.84, 0.85, 0.85, and 0.84. Conclusions: The study showed that aged patients with a higher number of mutations than young patients have a higher risk of short survival. Senior patients with a more significant number of mutations have an increased risk of getting into the last cancer stage.

Insights of structure-based pharmacophore studies and inhibitor design against Gal3 receptor through molecular dynamics simulations.

Our present work studies the structure-based pharmacophore modeling and designing inhibitor against Gal3 receptor through molecular dynamics (MD) simulations extensively. Pharmacophore models play a key role in computer-aided drug discovery like in the case of virtual screening of chemical databases, de novo drug design and lead optimization. Structure-based methods for developing pharmacophore models are important, and there have been a number of studies combining such methods with the use of MD simulations to model protein's flexibility. The two potential antagonists SNAP 37889 and SNAP 398299 were docked and simulated for 250 ns and the results are analyzed and carried for the structure-based pharmacophore studies. This helped in identification of the subtype selectivity of the binding sites of the Gal3 receptor. Our work mainly focuses on identifying these binding site residues and to design more potent inhibitors compared to the previously available inhibitors through pharmacophore models. The study provides crucial insight into the binding site residues Ala2, Asp3, Ala4, Gln5, Phe24, Gln79, Ala80, Ile82, Tyr83, Trp88, His99, Ile102, Tyr103, Met106, Tyr157, Tyr161, Pro174, Trp176, Arg181, Ala183, Leu184, Asp185, Thr188, Trp248, His251, His252, Ile255, Leu256, Phe258, Trp259, Tyr270, Arg273, Leu274 and His277, which plays a significant role in the conformational changes of the receptor and helps to understand the inhibition mechanism. Communicated by Ramaswamy H. Sarma.

Structural and functional characterization of oligomeric states of proteins in RecFOR pathway.

RecFOR pathway is the principal repair pathway for double strand break and single strand gap repair in Thermus thermophilus. RecF and RecR exist as monomer and dimer in solution, interestingly; they undergo condition-dependent dimerization and tetramerization, respectively during the DNA break repair. However, their importance in protein-protein and protein-DNA interactions remains elusive. In this study, the three-dimensional crystal structures of the wild type RecF and RecR proteins are determined. Thereafter, the structural information is used to mutate the interface residues to cysteine to stabilize the dimeric and tetrameric states of the RecF and RecR proteins, respectively. A comparative study for their interactions with other cognate proteins and ssDNA in native and SSB (single strand binding protein) bound states was performed. RecF or RecFR complex displays a negligible affinity towards ssDNA. Conversely, the RecF mutants and its complexes with wild type RecR showed affinity towards ssDNA, suggesting, distinct modes of interaction of RecF and RecFR complex for ssDNA binding. In the presence of RecO, the stabilized tetrameric RecR showed a lower binding affinity for ssDNA as compared to the SSB bound ssDNA, indicating the importance of tetrameric RecR in stabilizing the RecOR complex on the SSB coated ssDNA. This provides an insight into the reduction of the binding affinity of SSB proteins with the ssDNA, which in turn enhances the recruitment of RecA for strand exchange.

Proposing the Promiscuous Protein Structures in JNK1 and JNK3 for Virtual Screening in Pursuit of Potential Leads.

Over the past decade, the available crystal structures have almost doubled in Protein Data Bank (PDB) providing the research community with a series of similar crystal structures to choose from for future docking studies. With the steady growth in the number of high-resolution three-dimensional protein structures, ligand docking-based virtual screening of chemical libraries to a receptor plays a critical role in the drug discovery process by identifying new drug candidates. Thus, identifying potential candidates among all the available structures in a database for docking studies is of utmost importance. Our work examined whether one could use the resolution of a number of known structures, without considering other parameters, to choose a good experimental structure for various docking studies to find more useful drug leads. We expected that a good experimental structure for docking studies to be the one that gave favorable docking with the largest number of ligands among the experimental structures to be selected. We chose three protein test systems for our study, all belonging to the family of MAPK: (1) JNK1, (2) JNK2, and (3) JNK3. On analysis of the results, the best resolution structures showed significant variations from the expected values in their result, whereas the poor resolution structures proved to be better candidates for docking studies.

Understanding the dual mechanism of bioactive peptides targeting the enzymes involved in Renin Angiotensin System (RAS): An in-silico approach.

Understanding the dual inhibition mechanism of food derivative peptides targeting the enzymes (Renin and Angiotensin Converting enzyme) in the Renin Angiotensin System. Two peptides RALP and WYT were reported to possess antihypertensive activity targeting both renin and ACE, and we have used molecular docking and molecular dynamics simulation, in order to understand the underlying mechanism. The selected peptides (RALP and WYT) from the series of peptides reported were docked to renin and ACE and two binding modes were selected based on the binding energy, interaction pattern and clusters of docking simulation. The enzyme-peptide complexes for renin and ACE (Renin/RALP1,2; ACE/RALP1,2; Renin/WYT1,2 and ACE/WYT1,2) were subjected to molecular dynamics simulation. Our results identified that the peptides inhibiting renin, tends to move out of the binding pockets (S1' S2') which is critical for potent binding and occupies the less important pockets (S4 and S3). This could possibly be the reason for its low potency. Whereas, the same peptides targeting ACE, tends to be intact in the pocket because of the metal ion coordination and there is an ample room to improve on its efficacy. Our results further pave way for the biochemist, medicinal chemist to design dual peptides targeting the RAS effectively. Communicated by Ramaswamy H. Sarma.