SLShih-Hsien Liu

Shih-Hsien Liu

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Shih-Hsien Liu has a total of 109 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Molecular simulation and artificial intelligence for the circular economy of bioenergy and bioproducts

    by Jeremy C. Smith, Micholas Dean Smith, Shih-Hsien Liu, Shalini J. Rukmani, Mood Mohan, Yan Yu, Monojoy Goswami


  • Open Access

    Molecular-level design of alternative media for energy-saving pilot-scale fibrillation of nanocellulose

    by Shih-Hsien Liu, Shalini J. Rukmani, Mood Mohan, Yan Yu, Derya Vural, Donna A. Johnson, Katie Copenhaver, Samarthya Bhagia, Meghan E. Lamm, Kai Li, et al.

    The outstanding mechanical properties, light weight, and biodegradability of cellulose nanofibrils (CNFs) make them promising components of renewable and sustainable next-generation reinforced composite biomaterials and bioplastics. Manufacturing CNFs at a pilot scale requires disc-refining fibrillation of dilute cellulose fibers in aqueous pulp suspensions to shear the fibers apart into their nanodimensional forms, which is, however, an energy-intensive process. Here, we used atomistic molecular dynamics (MD) simulation to examine media that might facilitate the reduction of interactions between cellulose fibers, thereby reducing energy consumption in fibrillation. The most suitable medium found by the simulations was an aqueous solution with 0.007:0.012 wt.% NaOH:urea, and indeed this was found in pilot-scale experiments to reduce the fibrillation energy by ~21% on average relative to water alone. The NaOH:urea-mediated CNFs have similar crystallinity, morphology, and mechanical strength to those formed in water. The NaOH and urea act synergistically on CNFs to aid fibrillation but at different length scales. NaOH deprotonates hydroxyl groups leading to mesoscale electrostatic repulsion between fibrils, whereas urea forms hydrogen bonds with protonated hydroxyl groups thus disrupting interfibril hydrogen bonds. This suggests a general mechanism in which an aqueous medium that contains a strong base and a small organic molecule acting as a hydrogen-bond acceptor and/or donor may be effectively employed in materials processes where dispersion of deprotonable polymers is required. The study demonstrates how atomic-detail computer simulation can be integrated with pilot-scale experiments in the rational design of materials processes for the circular bioeconomy.


  • Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho

    by Shih-Hsien Liu, Zhousheng Xiao, Sambit K. Mishra, Julie C. Mitchell, Jeremy C. Smith, L. Darryl Quarles, Loukas Petridis

    Fibroblast growth factor 23 (FGF23) is a therapeutic target for treating hereditary and acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets and tumor-induced osteomalacia (TIO), respectively. FGF23-induced hypophosphatemia is mediated by signaling through a ternary complex formed by FGF23, the FGF receptor (FGFR), and α-Klotho. Currently, disorders of excess FGF23 are treated with an FGF23-blocking antibody, burosumab. Small-molecule drugs that disrupt protein/protein interactions necessary for the ternary complex formation offer an alternative to disrupting FGF23 signaling. In this study, the FGF23:α-Klotho interface was targeted to identify small-molecule protein/protein interaction inhibitors since it was computationally predicted to have a large fraction of hot spots and two druggable residues on α-Klotho. We further identified Tyr433 on the KL1 domain of α-Klotho as a promising hot spot and α-Klotho as an appropriate drug-binding target at this interface. Subsequently, we performed in silico docking of ~5.5 million compounds from the ZINC database to the interface region of α-Klotho from the ternary crystal structure. Following docking, 24 and 20 compounds were in the final list based on the lowest binding free energies to α-Klotho and the largest number of contacts with Tyr433, respectively. Five compounds were assessed experimentally by their FGF23-mediated extracellular signal-regulated kinase (ERK) activities in vitro, and two of these reduced activities significantly. Both these compounds were predicted to have favorable binding affinities to α-Klotho but not have a large number of contacts with the hot spot Tyr433. ZINC12409120 was found experimentally to disrupt FGF23:α-Klotho interaction to reduce FGF23-mediated ERK activities by 70% and have a half maximal inhibitory concentration (IC50) of 5.0 ± 0.23 μM. Molecular dynamics (MD) simulations of the ZINC12409120:α-Klotho complex starting from in silico docking poses reveal that the ligand exhibits contacts with residues on the KL1 domain, the KL1–KL2 linker, and the KL2 domain of α-Klotho simultaneously, thereby possibly disrupting the regular function of α-Klotho and impeding FGF23:α-Klotho interaction. ZINC12409120 is a candidate for lead optimization.


  • Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19

    by A. Acharya, R. Agarwal, M. B. Baker, J. Baudry, D. Bhowmik, S. Boehm, K. G. Byler, S. Y. Chen, L. Coates, C. J. Cooper, et al.

    We present a supercomputer-driven pipeline for in silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use of MD results by docking compound databases into representative protein binding-site conformations, thus taking into account the dynamic properties of the binding sites. We also describe preliminary results obtained for 24 systems involving eight proteins of the proteome of SARS-CoV-2. The MD involves temperature replica exchange enhanced sampling, making use of massively parallel supercomputing to quickly sample the configurational space of protein drug targets. Using the Summit supercomputer at the Oak Ridge National Laboratory, more than 1 ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to 10 configurations of each of the 24 SARS-CoV-2 systems using AutoDock Vina. Comparison to experiment demonstrates remarkably high hit rates for the top scoring tranches of compounds identified by our ensemble approach. We also demonstrate that, using Autodock-GPU on Summit, it is possible to perform exhaustive docking of one billion compounds in under 24 h. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and artificial intelligence (AI) methods to cluster MD trajectories and rescore docking poses.


  • Open Access

    Identification of Small-Molecule Inhibitors of FGF23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho

    by Shih-Hsien Liu, Zhousheng Xiao, Sambit K. Mishra, Julie C. Mitchell, Jeremy C. Smith, L. Darryl Quarles, Loukas Petridis

    Fibroblast growth factor 23 (FGF23) is a therapeutic target for treating hereditary and acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets and tumor-induced osteomalacia (TIO), respectively. FGF23-induced hypophosphatemia is mediated by signaling through a ternary complex formed by FGF23, FGF receptor (FGFR), and α-Klotho. Currently, disorders of excess FGF23 are treated with an FGF23-blocking antibody, Burosumab. Small-molecule drugs that disrupt protein:protein interactions necessary for the ternary complex formation offer an alternative to disrupt FGF23 signaling. In this study, the FGF23:α-Klotho interface was targeted to identify small-molecule protein:protein interaction inhibitors. We computationally identified “hot spots” in the FGF23:α-Klotho interface of the ternary complex and performed in silico docking of ~5.5 million compounds from the ZINC database to the interface region of α-Klotho from the ternary crystal structure. Following docking, 23 and 18 compounds were chosen based on the lowest binding free energies to α-Klotho and the largest number of contacts with Tyr433, a predicted hot spot, respectively. 5 compounds available were assessed experimentally by their FGF23-mediated extracellular signal-regulated kinase (ERK) activities in vitro, and two of these reduce activities significantly. Both these compounds have a favorable predicted binding affinity, but not a large number of contacts with the hot spot residues. ZINC12409120 was found experimentally to reduce FGF23-mediated ERK activities by 70% and have a half maximal inhibitory concentration (IC50) of 5.0 ± 0.23 uM. ZINC12409120 exhibits contacts with residues on KL1 and KL2 domains and on the linker between the two domains of α-Klotho in in silico binding poses, thereby possibly disrupting the regular function of α-Klotho and impeding FGF23 binding. ZINC12409120 is a candidate for lead optimization.

  • Open Access

    Identification of Small-Molecule Inhibitors of FGF23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho

    by Shih-Hsien Liu, Zhousheng Xiao, Sambit K. Mishra, Julie C. Mitchell, Jeremy C. Smith, L. Darryl Quarles, Loukas Petridis

    Fibroblast growth factor 23 (FGF23) is a therapeutic target for treating hereditary and acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets and tumor-induced osteomalacia (TIO), respectively. FGF23-induced hypophosphatemia is mediated by signaling through a ternary complex formed by FGF23, FGF receptor (FGFR), and alpha-Klotho. Currently, disorders of excess FGF23 are treated with an FGF23-blocking antibody, Burosumab. Small-molecule drugs that disrupt protein:protein interactions necessary for the ternary complex formation offer an alternative to disrupt FGF23 signaling. In this study, the FGF23:alpha-Klotho interface was targeted to identify small-molecule protein:protein interaction inhibitors. We computationally identified “hot spots” in the FGF23:alpha-Klotho interface of the ternary complex and performed in silico docking of ~5.5 million compounds from the ZINC database to the interface region of alpha-Klotho from the ternary crystal structure. Following docking, 23 and 18 compounds were chosen based on the lowest binding free energies to alpha-Klotho and the largest number of contacts with Tyr433, a predicted hot spot, respectively. 5 compounds available were assessed experimentally by their FGF23-mediated extracellular signal-regulated kinase (ERK) activities in vitro , and two of these reduce activities significantly. Both these compounds have a favorable predicted binding affinity, but not a large number of contacts with the hot spot residues. ZINC12409120 was found experimentally to reduce FGF23-mediated ERK activities by 70% and have a half maximal inhibitory concentration (IC 50 ) of 5.0 ± 0.23 uM. ZINC12409120 exhibits contacts with residues on KL1 and KL2 domains and on the linker between the two domains of alpha-Klotho in in silico binding poses, thereby possibly disrupting the regular function of alpha-Klotho and impeding FGF23 binding. ZINC12409120 is a candidate for lead optimization.

  • Ammonia-salt solvent promotes cellulosic biomass deconstruction under ambient pretreatment conditions to enable rapid soluble sugar production at ultra-low enzyme loadings

    by Shishir P. S. Chundawat, Leonardo da Costa Sousa, Shyamal Roy, Zhi Yang, Shashwat Gupta, Ramendra Pal, Chao Zhao, Shih-Hsien Liu, Loukas Petridis, Hugh O'NEill, et al.

    Here, we report a novel ammonia : ammonium salt solvent based pretreatment process that can rapidly dissolve crystalline cellulose into solution and eventually produce highly amorphous cellulose under near-ambient conditions. Pre-activating the cellulose I allomorph to its ammonia–cellulose swollen complex (or cellulose III allomorph) at ambient temperatures facilitated rapid dissolution of the pre-activated cellulose in the ammonia-salt solvent (i.e., ammonium thiocyanate salt dissolved in liquid ammonia) at ambient pressures. For the first time in reported literature, we used time-resolved in situ neutron scattering methods to characterize the cellulose polymorphs structural modification and understand the mechanism of crystalline cellulose dissolution into a ‘molecular’ solution in real-time using ammonia-salt solvents. We also used molecular dynamics simulations to provide insight into solvent interactions that non-covalently disrupted the cellulose hydrogen-bonding network and understand how such solvents are able to rapidly and fully dissolve pre-activated cellulose III. Importantly, the regenerated amorphous cellulose recovered after pretreatment was shown to require nearly ∼50-fold lesser cellulolytic enzyme usage compared to native crystalline cellulose I allomorph for achieving near-complete hydrolytic conversion into soluble sugars. Lastly, we provide proof-of-concept results to further showcase how such ammonia-salt solvents can pretreat and fractionate lignocellulosic biomass like corn stover under ambient processing conditions, while selectively co-extracting ∼80–85% of total lignin, to produce a highly digestible polysaccharide-enriched feedstock for biorefinery applications. Unlike conventional ammonia-based pretreatment processes (e.g., Ammonia Fiber Expansion or Extractive Ammonia pretreatments), the proposed ammonia-salt process can operate at near-ambient conditions to greatly reduce the pressure/temperature severity necessary for conducting effective ammonia-based pretreatments on lignocellulose.


  • Interaction of Zinc Oxide Nanoparticles with Water: Implications for Catalytic Activity

    by Takat Bahadur Rawal, Ali Ozcan, Shih-Hsien Liu, Sai Venkatesh Pingali, Oguz Akbilgic, Laurene Tetard, Hugh M. O'Neill, Swadeshmukul Santra, Loukas Petridis


  • Antimicrobial Zn-Based “TSOL” for Citrus Greening Management: Insights from Spectroscopy and Molecular Simulation

    by Shih-Hsien Liu, Takat Bahadur Rawal, Mikhael Soliman, Briana Lee, Tyler Maxwell, Parthiban Rajasekaran, Hajeewaka C. Mendis, Nicole Labbé, Swadeshmukul Santra, Laurene Tetard, et al.

    Huanglongbing (HLB), also known as citrus greening, is a bacterial disease that poses a devastating threat to citrus industry worldwide. To manage this disease efficiently, we developed and characterized a ternary aqueous solution (TSOL) that contains zinc nitrate, urea and hydrogen peroxide. We report that TSOL exhibits better antimicrobial activity than commercial bactericides for growers. X-ray fluorescence analysis demonstrates that zinc is delivered to citrus leaves, where the bacteria reside. FTIR and Raman spectroscopy, molecular dynamics simulations and density functional theory calculations elucidate the solution structure of TSOL and reveal a water-mediated interaction between Zn2+ and H2O2, which may facilitate the generation of highly reactive hydroxyl radicals contributing to superior antimicrobial activity of TSOL. Our results not only suggest TSOL as a potent antimicrobial agent to suppress bacterial growth in HLB-infected trees, but also provide a structure-property relationship that explains the superior performance of TSOL.


  • Open Access

    Optimal Combination of Calcination and Reduction Conditions as well as Na2SO4 Additive for Carbothermic Reduction of Limonite Ore

    by Guan-Jhou Chen, Jia-Shyan Shiau, Shih-Hsien Liu, Weng-Sing Hwang

    The optimal carbothermic reduction parameters of limonite ore and the influence of calcining temperature on these were investigated. In addition, the impact of the addition of Na 2 SO 4 on limonite ore which had been calcined before reduction at optimal carbothermic conditions was also investigated. XRD analysis, BET-specific surface area analysis, bromine methyl alcohol solution analysis, and chemical compositional analysis were used in order to obtain the associated parameters. The best nickel grade and recovery rate of the 673 K-calcined limonite ore can reach >30 mass% and 90.2 mass%, respectively, when the reduction temperature is 1373 K, with a reduction time of 30 min, and a carbon-oxygen ratio of 0.6. This is because the 673 K-calcined limonite ores have the highest specific surface area of 46.8 m 2 /g with pores in the size of 29.7 Å. The addition of Na 2 SO 4 by 5 mass% resulted in the best nickel grade of >30 mass% and the best recovery rate of 93.8 mass% at the same reduction temperature, time and carbon-oxygen ratio.