Exploring Dihydroflavonol-4-Reductase Reactivity and Selectivity by QM/MM-MD Simulations

Comparative Transcriptome Analysis Provides Insights into the Effect of Epicuticular Wax Accumulation on Salt Stress in Coconuts

The coconut is an important tropical economical crop and exhibits high tolerance to various types of salinity stress. However, little is known about the molecular mechanism underlying its salt tolerance. In this study, RNA-Seq was applied to examine the different genes expressed in four coconut varieties when exposed to a salt environment, resulting in the generation of data for 48 transcriptomes. Comparative transcriptome analysis showed that some genes involved in cutin and wax biosynthesis were significantly upregulated in salt treatment compared to the control, including CYP86A4, HTH, CER1, CER2, CER3, DCR, GPAT4, LTP3, LTP4, and LTP5. In particular, the expression of CER2 was induced more than sixfold, with an RPKM value of up to 205 ten days after salt treatment in Hainan Tall coconut, demonstrating superior capacity in salt tolerance compared to dwarf coconut varieties. However, for yellow dwarf and red dwarf coconut varieties, the expression level of the CER2 gene was low at four different time points after exposure to salt treatment, suggesting that this gene may contribute to the divergence in salt tolerance between tall and dwarf coconut varieties. Cytological evidence showed a higher abundance of cuticle accumulation in tall coconut and severe damage to cuticular wax in dwarf coconut.

The utilization of natural eco-benign sources for sustainable management to preserve hides and docking analysis of identified potential phytochemicals

The industrial leather sector is one of the most ancient industries globally and continues to influence the global economic system in contemporary times significantly. Regardless of income, the leather sector is widely recognized as a significant environmentally detrimental sector because of the utilization of materials involved in preserving and processing leather. Raw hides, the primary ingredient in the leather industry, are highly susceptible to microbial attack once they have been flayed from animals. The current review provides information about the diverse operational processes employed in the beam house to produce leather goods. This paper primarily focuses on the preservation of various types of hides, including those derived from goats, cows, sheeps, deers, pigs, and other species, with particular emphasis on bio-based preservation methods. It also discusses various salt and salt-free curing methods along with their limitations. Furthermore, it reviews a viable and economically advantageous option for preserving animal hides using plant and microbial sources. Moreover, it focuses on investigating the molecular docking interactions between three critical enzymes in the phytochemical synthesis pathway, namely phenylalanine ammonia-lyase, phosphomevalonate kinase, and dihydroflavonol 4-reductase, and a set of specific modulators, followed by ADMET analyses. The objective was to determine the optimal binding affinity score for these enzyme-modulator complexes through virtual screening. The depiction of protein-ligand interactions offers potential benefits for future research endeavours, as well as valuable insights into the identification of modulators and the evaluation of the potency and efficacy of phytochemicals in the preservation of hides.

QM/MM Modeling Aided Enzyme Engineering in Natural Products Biosynthesis

Natural products and their derivatives are widely used across various industries, particularly pharmaceuticals. Modern engineered biosynthesis provides an alternative way of producing and meeting the growing need for diverse natural products. Natural enzymes, on the other hand, often exhibit unsatisfactory catalytic characteristics and necessitate further enzyme engineering modifications. QM/MM, as a powerful and extensively used computational tool in the field of enzyme catalysis, has been increasingly applied in rational enzyme engineering over the past decade. In this review, we summarize recent advances in QM/MM computational investigation on enzyme catalysis and enzyme engineering for natural product biosynthesis. The challenges and perspectives for future QM/MM applications aided enzyme engineering in natural product biosynthesis will also be discussed.

A perspective on the sharing of docking data

Computational approaches are nowadays largely applied in drug discovery projects. Among these, molecular docking is the most used for hit identification against a drug target protein. However, many scientists in the field shed light on the lack of availability and reproducibility of the data obtained from such studies to the whole community. Consequently, sustaining and developing the efforts toward a large and fully transparent sharing of those data could be beneficial for all researchers in drug discovery. The purpose of this article is first to propose guidelines and recommendations on the appropriate way to conduct virtual screening experiments and second to depict the current state of sharing molecular docking data. In conclusion, we have explored and proposed several prospects to enhance data sharing from docking experiment that could be developed in the foreseeable future.