Diverse Products Research Articles

ACTIVITY-BASED COSTING (ABC) SYSTEM TO DETERMINE PRODUCTION COST (STUDY ON CV TWIN ALFA)

This study explores the implementation of the Activity-Based Costing (ABC) system at CV Twin Alfa, a company engaged in the production of automotive training equipment for vocational and mechanical engineering students. In an increasingly competitive market, the necessity for accurate cost information is paramount for strategic decision-making and pricing strategies. Traditional cost accounting methods, which allocate manufacturing overhead based solely on production volume, lead to significant inaccuracies in cost calculations, particularly for companies with diverse product offerings. This research demonstrates that the ABC system provides a more precise method for calculating production costs by linking expenses directly to the activities that generate them. Findings indicate that employing the ABC system not only enhances the accuracy of cost information but also supports improved operational efficiency and competitive pricing. The study concludes that adopting the ABC approach is essential for CV Twin Alfa to refine its cost management practices and maintain a competitive edge in the marketplace.

A Qualitative Study on the Applications of Artificial Neural Networks in the Banking Sector

Banks are institutions that play a significant role in the economy through the diverse financial products and services they offer. Given that they operate in a competitive environment, they are constantly striving to employ the best methods to withstand competition. Among the latest techniques widely adopted by banks today are various applications of artificial intelligence, with artificial neural networks being at the forefront. This paper explores the various uses of these neural networks in banks and the benefits these uses bring to the banking sector as a whole. Therefore, this study is presented as a qualitative study, relying on the descriptive approach to draw valuable conclusions on the subject by reviewing relevant previous literature closely related to the study topic. The research concluded that artificial neural networks are highly beneficial for banks as they contribute significantly to predicting various risks facing the bank, as well as providing many other advantages, which will be discovered in this paper.

Multicomponent Heterogeneous Semiconductor Photocatalytic Sulfinylsulfonylation of Alkenes with Alkyl Iodides and SO2.

A multicomponent heterogeneous semiconductor photocatalytic sulfinylsulfonylation of alkenes with alkyl iodides and SO2 was displayed under mild metal-free conditions by using boron carbonitride (BCN) as the alternative photocatalyst. This approach has resulted in the production of a wide range of structurally diverse sultine products in moderate to high yields, using readily available starting materials including alkyl iodides and olefins with broad functional group tolerance. The method is also suitable for the late-stage functionalization of complex bioactive molecules. A radical-polar crossover cyclization (RPCC) process was proposed based on mechanistic studies.

Stock Valuation of PT Widodo Makmur Perkasa TBK by Using Discounted Cash Flow Method and Relative Valuation

The emergence of Covid-19 in Indonesia caused an economic decline in 2019-2020. This also has an impact on the capital market in Indonesia, which is shown by the decline in the Composite Stock Price Index (IHSG) which was seen at the beginning of 2020 at the level of 6,300 and decreased to 3,900 in March 2020. However, the number of investors in Indonesia has increased every year, the same as the increase number of companies that have conducted an initial public offering (IPO) and listed their shares on the Indonesian Stock Exchange (BEI). One of the companies conducting an initial public offering is PT Widodo Makmur Perkasa Tbl. (WMPP) in 2021. This company has the potential to continue to grow knowing that Indonesia’s population is expected to continue to grow at a growth rate of 1.25 percent per year, and the Indonesian economy will grow by 5.31 percent in 2022, exceeding the growth rate in 2021 it is 3.70 percent, and is expected to continue to increase every year. In addition, the urban population in Indonesia is expected to reach 66.6% in 2035 and 70% in 2045. This study aims to find out whether WMPP companies are valued too low or too high using the DCF and Relative Valuation methods. Apart from that, this research also carried out external and internal analysis to see the company’s potential. The method used to analyze external conditions in company analysis is PESTEL and the author uses VRIO analysis to determine internal conditions. The findings of the study reveal that this company’s industrial sector is attractive to investors because this industry has a significant contribution to the development of Indonesia’s GDP; this can be a trigger for the Government of Indonesia to continue to support this sector. Apart from that, increasing people’s income and the company’s concern for the environment can be an attraction for investors. However, the only problem is disease outbreaks in cows and chickens which can trigger a decline in income. Based on the result of the VRIO analysis, this company has sustainable competitive advantages such as a large number of assets with quite a lot of production capacity. This company also has a vertical integration business and diverse products & business units. The result of the WMPP company valuation based on relative valuation show that the WMPP company has a lower PER, PBV and EV to EBITDA than those of the average of similar companies or can be said to be undervalued. However, the WMPP company’s EV to Sales is higher than that of the average of similar companies, indicating that the stock is overvalued. Furthermore, based on the Discounted Cash Flow (DCF) result, the intrinsic value of this company is IDR -55, but the share price is IDR 50. This shows that WMPP is overvalued.

Titanium-Catalyzed Reaction of Silacyclobutanes with Alkenes: Mimicking the Reactivity and Reversing the Selectivity Towards Late Transition Metals.

Transition metal-catalyzed ring opening and expansion reactions of silacyclobutanes (SCBs) constitute an atom- and step-economical strategy to construct value-added silicon-containing chemicals. Despite extensive studies, the reaction of SCBs with simple alkenes has only one precedent. Moreover, most reported reactions of SCBs use late transition metals (Pd, Ni, Rh) as catalysts. By contrast, there are no reports of using early transition metals. Herein, we report the first example, to our knowledge, of early-transition-metal-catalyzed reactions of SCBs using earth's second abundant titanium as a catalyst. Notably, orthogonal selectivity was observed. Selective activation of the relatively inert C(sp3)-Si bond was achieved in the case of benzosilacyclobutenes, a selectivity that has rarely been achieved using other metals. Even for silacyclobutanes with C(sp3)-Si bonds only, our titanium system also shows complementary selectivity towards late transition metals to give distinct products. Thus, structurally varied SCBs and alkenes were reacted in our system to afford structurally diverse silicon-containing products that are otherwise difficult to obtain using other transition metals.

Computer-Supported Strategic Decision Making for Ecosystems Creation

In the corporate strategy arena, the concept of ecosystems has emerged as a transformative approach to promote competitive advantage, growth, and innovation. Corporate ecosystems enable companies to benefit from interconnections among diverse partners, products, and services to deliver enhanced value to customers. However, the process of ecosystem creation represents a significant challenge for CEOs, as they must analyze a wide number of alternative sectors, partners, business cases, and other critical elements. Particularly, as it is a strategic decision, it lies beyond the traditional approach of risk-return by incorporating other factors, e.g.: the feasibility, desirability and sustainability of each alternative. This paper investigates how computer-supported optimization algorithms can help to solve the complex problem faced by CEOs when making these factors to create a successful and sustainable ecosystem. The paper shows how a CEO can make informed strategic decisions by identifying the best projects to include in the ecosystem portfolio, balancing financial risk and return with technical feasibility, customer appeal, and technical considerations.

Structures and Biological Activities of Secondary Metabolites from Daldinia spp.

The genus Daldinia have long been recognized as a source of structural novel, pharmaceutically relevant natural products. We reviewed the structures and activities of secondary metabolites isolated from the genus of Daldinia from January 1995 to June 2024, and 280 compounds, including six major categories—terpenoids, alkaloids, polyketides, polyphenols, steroids, and other classes—are presented in this review. Among these metabolites, 196 were identified as new structures. Remarkably, 112 compounds exhibited a range of biological activities, including cytotoxic, antimicrobial, anti-inflammatory, antifungal, anti-virus, and enzyme-inhibitory activities. This review highlights the bioactive metabolites discovered in the past three decades from the genus of Daldinia while also exploring the potential of these symbiotic fungi as rich sources of novel and diverse natural products. The varying bioactivities of these metabolites offer a vast array of promising lead compounds and also could significantly contribute to the development of new medicines.

Structural, optical, luminescent and magnetic properties of Gd2O3 nanoparticles: A comparative study on the effect of different green fuels in the sol–gel synthesis tactics

In this study, five samples of Gd2O3 NPs (size range: 4–33 nm) were synthesized by five different green facile and diverse natural products acting as reducing & stabilizing agents such as: fresh juices of sugarcane, lemon, tomato & orange fruits and citric acid via self combustion sol–gel tactics. Powder X-ray diffraction (PXRD), High resolution transmission electron microscopy (HRTEM), Fourier transform infrared (FTIR) and Raman analysis affirmed cubic-C type crystal structure of Gd2O3 NPs prepared using citric acid, lemon juice and sugarcane juice. Mixed cubic and monoclinic phases were observed in Gd2O3 NPs prepared using tomato and orange juices. Notably, NPs of Gd2O3 in quantum dot regime (size: 6 ± 2 nm) were produced in the fresh sugarcane juice mediated synthesis protocol. Fresh lemon juice and sugarcane juice were appeared to be the most efficient green fuel for producing quality samples of Gd2O3 NPs. Optical absorption studies showed that bandgap in these Gd2O3 NPs is strongly dependent on the preparation protocol and type of green fuel. Interestingly, highest and lowest band gap of 4.91 eV and 4.43 eV were obtained for Gd2O3 NPs fabricated with orange and lemon juices, respectively. Photoluminescence (PL) and electron spin resonance (ESR) analysis affirmed formation of Schottky and Frenkel surface defects along with self trapped excitons and oxygen vacancies in these Gd2O3 NPs. Paramagnetic character of these Gd2O3 NPs at 300 K is validated by dc-magnetization and ESR studies. Present study demonstrated that microstructural, optical absorption and photoluminescence properties of Gd2O3 NPs can be easily customized by choice of natural products in the synthesis tactics.

Architectural Trends in Collaborative Computing: Approaches in the Internet of Everything Era

The majority of the global population now resides in cities, and this trend continues to grow. In this context, the Internet of Things (IoT) is crucial in transforming existing urban areas into Smart Cities. However, IoT architectures mainly focus on machine-to-machine interactions, leaving human involvement aside. The Internet of Everything (IoE) includes human-to-human and human–machine collaboration, but the specifics of these interactions are still under-explored. As urban populations grow and IoT integrates into city infrastructure, efficient, collaborative architectures become crucial. In this work, we use the Rapid Review methodology to analyze collaboration in four prevalent computing architectures in the IoE paradigm, namely Edge Computing, Cloud Computing, Blockchain/Web Services, and Fog Computing. To analyze the collaboration, we use the 3C collaboration model, comprising communication, cooperation, and coordination. Our findings highlight the importance of Edge and Cloud Computing for enhancing collaborative coordination, focusing on efficiency and network optimization. Edge Computing supports real-time, low-latency processing at data sources, while Cloud Computing offers scalable resources for diverse workloads, optimizing coordination and productivity. Effective resource allocation and network configuration in these architectures are essential for cohesive IoT ecosystems. Therefore, this work offers a comparative analysis of four computing architectures, clarifying their capabilities and limitations. Smart Cities are a major beneficiary of these insights. This knowledge can help researchers and practitioners choose the best architecture for IoT and IoE environments. Additionally, by applying the 3C collaboration model, the article provides a framework for improving collaboration in IoT and IoE systems.

Bioinspired Total Synthesis of Natural Products.

ConspectusCurrently, the frontier challenges in total synthesis pertain to increasing the synthetic efficiency and enabling the divergent synthesis of a number of natural products. Bioinspired synthesis has been well recognized as an effective approach to increasing synthetic efficiency. Especially, when bioinspired synthesis was applied at late-stage skeletal diversification to generate various natural products with distinct carbon skeletons, it held special promise for achieving both goals. In our laboratory, bioinspired synthesis has served as one of two long-standing principles for facilitating the efficient synthesis of natural products. In this Account, we summarize our endeavors and journeys in the bioinspired synthesis of natural products. We categorize our work into three parts based on the imitation of biosynthetic reactions and processes.(1) To mimic the key cyclization steps. Inspired by the biosynthetic process that formed the core skeleton, we developed new synthetic methods to enable the rapid and efficient construction of the core skeletons of the targeted molecules, ultimately leading to their concise total synthesis, for example, seven-step total synthesis of lamellarins D and H featuring three bioinspired oxidative coupling reactions, seven-step total synthesis of clavicipitic acid highlighted by a C-H activation/aminocyclization cascade reaction, eight-step total synthesis of phalarine via a bioinspired oxidative coupling, seven-step total synthesis of α-cyclopiazonic acid, and ten-step total synthesis of speradine C through a bioinspired cascade cyclization reaction initiated by the benzylic carbocation of indole. (2) To mimic the revised biosynthetic pathway proposed by us. In some cases, the proposed biosynthetic processes may be flawed, as they contradict some basic principles of chemistry. Thus, an alternative biosynthetic process must be proposed and investigated. We showcase the total synthesis of euphorikanin A through a bioinspired benzilic acid-type rearrangement and bipolarolides A and B via a bioinspired Prins reaction/ether formation cascade cyclization. (3) To mimic the skeletal diversification process. Nature usually synthesizes a multitude of products from a key common intermediate in a divergent manner. Biogenic skeletal diversification to generate various natural products with distinct carbon skeletons has also drawn our attention. Compared with single-target-oriented synthesis, skeletal-diversity-oriented synthesis of natural products remains underexplored due to its high synthetic challenges. We showcased the divergent total syntheses of ten pallavicinia diterpenoids with three distinct skeletons and six grayanane diterpenoids with three distinct skeletons, which were achieved with unprecedented ease and high efficiency by imitation of the proposed biogenic skeletal diversification process. These two successful projects can serve as inspiration for the application of the bioinspired skeletal diversification strategy to other skeletally diverse natural products.

Systematic, computational discovery of multicomponent and one-pot reactions

Discovery of new types of reactions is essential to organic chemistry because it expands the scope of accessible molecular scaffolds and can enable more economical syntheses of existing structures. In this context, the so-called multicomponent reactions, MCRs, are of particular interest because they can build complex scaffolds from multiple starting materials in just one step, without purification of intermediates. However, for over a century of active research, MCRs have been discovered rather than designed, and their number remains limited to only several hundred. This work demonstrates that computers taught the essential knowledge of reaction mechanisms and rules of physical-organic chemistry can design – completely autonomously and in large numbers – mechanistically distinct MCRs. Moreover, when supplemented by models to approximate kinetic rates, the algorithm can predict reaction yields and identify reactions that have potential for organocatalysis. These predictions are validated by experiments spanning different modes of reactivity and diverse product scaffolds.

Recent Advances and Challenges in the Production of Hydroxylated Natural Products Using Microorganisms

Hydroxylation reaction is a significant source of structural diversity in natural products (NPs), playing a crucial role in improving the bioactivity, solubility, and stability of natural product molecules. This review summarizes the latest research progress in the field of natural product hydroxylation, focusing on several key hydroxylases involved in the biosynthesis of NPs, including cytochrome P450 monooxygenases, α-ketoglutarate-dependent hydroxylases, and flavin-dependent monooxygenases. These enzymes achieve selective hydroxylation modification of various NPs, such as terpenoids, flavonoids, and steroids, through different catalytic mechanisms. This review systematically summarizes the recent advances on the hydroxylation of NPs, such as amino acids, steroids, terpenoids, lipids, and phenylpropanoids, demonstrating the potential of synthetic biology strategies in constructing artificial biosynthetic pathways and producing hydroxylated natural product derivatives. Through metabolic engineering, enzyme engineering, genetic engineering, and synthetic biology combined with artificial intelligence-assisted technologies, a series of engineered strains have been successfully constructed for the efficient production of hydroxylated NPs and their derivatives, achieving efficient synthesis of hydroxylated NPs. This has provided new avenues for drug development, functional food, and biomaterial production and has also offered new ideas for the industrial production of these compounds. In the future, integrating artificial synthetic pathway design, enzyme directed evolution, dynamic regulation, and artificial intelligence technology is expected to further expand the application of enzyme-catalyzed hydroxylation reactions in the green synthesis of complex NPs, promoting research on natural product hydroxylation to new heights.

Fine-Tuning the Function of Farnesene Synthases for Selective Synthesis of Farnesene Stereoisomers.

Farnesene synthase from Artemisia annua (AaFS) catalyzes the reaction from farnesyl pyrophosphate (FPP) to give the sesquiterpene β-farnesene, a key building block for the biosynthesis of vitamin E. However, an insufficient yield of β-farnesene precludes its industrialization. Understanding the mechanism would be essential for attaining β-farnesene in high yield. Guided by structure-based enzyme engineering, we designed several potent variants, among which L326I increased the β-farnesene yield from 450.65 to 3877.42 mg/L. Furthermore, we found that the function of β-farnesene synthase AaFS can be modulated at two positions; W299 is responsible for tuning the enzyme's function to give its isomeric product α-farnesene and Y402 is the key residue for diverting from the linear farnesene products to the monocyclic α-bisabolol product. These findings provide valuable insights into the catalytic mechanism and functional modulation of farnesene synthases and set the basis for rational engineering of farnesene synthases for selective biosynthesis of diverse sesquiterpene natural products.

Cyclic natural product oligomers: diversity and (bio)synthesis of macrocycles.

Cyclic compounds are generally preferred over linear compounds for functional studies due to their enhanced bioavailability, stability towards metabolic degradation, and selective receptor binding. This has led to a need for effective cyclization strategies for compound synthesis and hence increased interest in macrocyclization mediated by thioesterase (TE) domains, which naturally boost the chemical diversity and bioactivities of cyclic natural products. Many non-ribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) derived natural products are assembled to form cyclodimeric compounds, with these molecules possessing diverse structures and biological activities. There is significant interest in identifying the biosynthetic pathways that produce such molecules given the challenge that cyclodimerization represents from a biosynthetic perspective. In the last decade, many groups have pursued the characterization of TE domains and have provided new insights into this biocatalytic machinery: however, the enzymes involved in formation of cyclodimeric compounds have proven far more elusive. In this review we focus on natural products that involve macrocyclization in their biosynthesis and chemical synthesis, with an emphasis on the function and biosynthetic investigation on the special family of TE domains responsible for forming cyclodimeric natural products. We also introduce additional macrocyclization catalysts, including butelase and the CT-mediated cyclization of peptides, alongside the formation of cyclodipeptides mediated by cyclodipeptide synthases (CDPS) and single-module NRPSs. Due to the interdisciplinary nature of biosynthetic research, we anticipate that this review will prove valuable to synthetic chemists, drug discovery groups, enzymologists, and the biosynthetic community in general, and inspire further efforts to identify and exploit these biocatalysts for the formation of novel bioactive molecules.

Preliminary exploration of the mechanisms underlying morphology engineering of Monascus purpureus during submerged fermentation via multi-omics approaches

Herein, multi-omics approaches were employed to investigate the relationship between mycelia morphology and biosynthesis of Monascus pigments (MPs) during submerged fermentation of Monascus purpureus. Through heavy ion beam irradiation, eleven mutants with diverse mycelial morphologies and MPs productions were generated. Genome resequencing analysis revealed that the autologous genes of these mutants were primarily enriched in pathways associated with histone ubiquitination and methylation. Among them, M. purpureus ZS exhibited a 2.49-fold increase in MPs production and distinct mycelia morphology compared to the parent strain, thus it was selected for transcriptomic and metabolomic analyses. The results revealed showed significant alterations in lysine metabolism, lipid metabolism, as well as cell wall and membrane components. Additionally, upregulated CoA biosynthesis along with type I polyketide structures and the genetic cluster responsible for MPs biosynthesis facilitated accumulation of MPs. These findings provide a theoretical foundation for morphological engineering of Monascus while offering novel strategies to achieve higher levels of MPs production during submerged fermentation.

Unlocking the potential of Cupriavidus necator H16 as a platform for bioproducts production from carbon dioxide.

The rapid global increase in fossil fuel and energy consumption has resulted in the accumulation of greenhouse gases, especially carbon dioxide (CO2), thus contributing to climate change. Therefore, transforming CO2 into valuable products could yield beneficial outcomes. In this review, the capabilities of Cupriavidus necator H16, a light-independent chemoautotrophic bacterium, as a host platform for the transformation of CO2 into diverse products are explored. We begin by examining the progress in synthetic biology toolkits, gas fermentation technologies, and engineering approaches, considering the chemoautotrophic metabolic traits of C. necator to enhance the capacity of the strain for CO2 fixation. Additionally, recent research focused on the metabolic engineering of C. necator H16 for the conversion of CO2 into biodegradable plastics, biofuels, bioactive compounds, and single-cell proteins was reviewed. Finally, we address the limitations affecting the advancement and utilization of C. necator H16 strain, such as inefficiencies and the range of product types, and offer several recommendations for enhancement. This review acts as a resource for the development of C. necator H16 cell factories and the industrial manufacture of products derived from CO2.

Enantioselective Synthesis of Axially Chiral Tetrasubstituted Alkenes by Copper‐Catalyzed C(sp2)–H Functionalization of Arenes with Vinyl Cations

Axially chiral tetrasubstituted alkenes are of increasing value and interest in chemistry‐related areas. However, their catalytic asymmetric synthesis remains elusive, due to the high steric repulsion and relatively low conformational stability. Herein, we disclose the straightforward construction of atropisomeric tetrasubstituted alkenes via an effective enantiocontrol of vinyl cations. This copper‐catalyzed enantioselective C(sp2)–H functionalization of sterically hindered (hetero)arenes with vinyl cations enables the efficient and atom‐economical preparation of axially chiral acyclic tetrasubstituted styrenes and pyrrolyl ethylenes with high atroposelectivities. Importantly, this reaction represents the first example for the assembly of axially chiral alkenes through vinyl cation approach. Computational mechanistic studies reveal the reaction mechanism, origin of regioselectivity, Z/E selectivity and enantioselectivity. The synthetic utility has been demonstrated by diverse product derivatizations, chiral organocatalyst synthesis, as well as further applications in asymmetric catalysis.

Enantioselective Synthesis of Axially Chiral Tetrasubstituted Alkenes by Copper-Catalyzed C(sp2)-H Functionalization of Arenes with Vinyl Cations.

Axially chiral tetrasubstituted alkenes are of increasing value and interest in chemistry-related areas. However, their catalytic asymmetric synthesis remains elusive, due to the high steric repulsion and relatively low conformational stability. Herein, we disclose the straightforward construction of atropisomeric tetrasubstituted alkenes via an effective enantiocontrol of vinyl cations. This copper-catalyzed enantioselective C(sp2)-H functionalization of sterically hindered (hetero)arenes with vinyl cations enables the efficient and atom-economical preparation of axially chiral acyclic tetrasubstituted styrenes and pyrrolyl ethylenes with high atroposelectivities. Importantly, this reaction represents the first example for the assembly of axially chiral alkenes through vinyl cation approach. Computational mechanistic studies reveal the reaction mechanism, origin of regioselectivity, Z/E selectivity and enantioselectivity. The synthetic utility has been demonstrated by diverse product derivatizations, chiral organocatalyst synthesis, as well as further applications in asymmetric catalysis.

HiFiBGC: an ensemble approach for improved biosynthetic gene cluster detection in PacBio HiFi-read metagenomes

BackgroundMicrobes produce diverse bioactive natural products with applications in fields such as medicine and agriculture. In their genomes, these natural products are encoded by physically clustered genes known as biosynthetic gene clusters (BGCs). Genome and metagenome sequencing advances have enabled high-throughput identification of BGCs as a promising avenue for natural product discovery. BGC mining from (meta)genomes using in silico tools has allowed access to a vast diversity of potentially novel natural products. However, a fundamental limitation has been the ability to assemble complete BGCs, especially from complex metagenomes. With their fragmented assemblies, short-read technologies struggle to recover complete BGCs, such as the long and repetitive nonribosomal peptide synthetase (NRPS) and polyketide synthase (PKS). Recent advances in long-read sequencing, such as the High Fidelity (HiFi) technology from PacBio, have reduced this limitation and can help retrieve both accurate and complete BGCs from metagenomes, warranting improvement in the existing BGC identification approach for better utilization of HiFi data.ResultsHere, we present HiFiBGC, a command-line-based workflow to identify BGCs in PacBio HiFi metagenomes. HiFiBGC leverages an ensemble of assemblies from three HiFi-tailored metagenome assemblers and the reads not represented in these assemblies. Based on our analyses of four HiFi metagenomic datasets from four different environments, we show that HiFiBGC identifies, on average, 78% more BGCs than the top-performing single-assembler-based method. This increase is due to HiFiBGC’s ensemble assembly approach, which improves recovery by 25%, as well as from the inclusion of mostly fragmented BGCs identified in the unmapped reads.ConclusionsHiFiBGC is a computational workflow for identifying BGCs in long-read HiFi metagenomes, implemented majorly using Python programming language and workflow manager Snakemake. HiFiBGC is available on GitHub at https://github.com/ay-amityadav/HiFiBGC under the MIT license. The code related to the figures and analyses presented in the manuscript is available at https://github.com/ay-amityadav/HiFiBGC_analyses.

Structural Insights into the Mechanism of a Polyketide Synthase Thiocysteine Lyase Domain.

Polyketide synthases (PKSs) are renowned for the structural diversity of the polyketide natural products they produce, but sulfur-containing functionalities are rarely installed by PKSs. We previously characterized thiocysteine lyase (SH) domains involved in the biosynthesis of the leinamycin (LNM) family of natural products, exemplified by LnmJ-SH and guangnanmycin (GnmT-SH). Here we report a detailed investigation into the PLP-dependent reaction catalyzed by the SH domains, guided by a 1.8 Å resolution crystal structure of GnmT-SH. A series of elaborate substrate mimics were synthesized to answer specific questions garnered from the crystal structure and from the biosynthetic logic of the LNM family of natural products. Through a combination of bioinformatics, molecular modeling, in vitro assays, and mutagenesis, we have developed a detailed model of acyl carrier protein (ACP)-tethered substrate-SH, and interdomain interactions, that contribute to the observed substrate specificity. Comparison of the GnmT-SH structure with archetypical PLP-dependent enzyme structures revealed how Nature, via evolution, has modified a common protein structural motif to accommodate an ACP-tethered substrate, which is significantly larger than any of those previously characterized. Overall, this study demonstrates how PLP-dependent chemistry can be incorporated into the context of PKS assembly lines and sets the stage for engineering PKSs to produce sulfur-containing polyketides.