AMP binding free energy calculations and per-residue decomposition of holo and PfIleRS-SANC systems. by Curtis Chepsiror (21368103)

Fig 9 - BC. by Curtis Chepsiror (21368103)

Fig 10 - EC. by Curtis Chepsiror (21368103)

TRPV1-M308H modulation by intracellular pH. by Grace C. Wulffraat (22170446)

“…Zoomed in regions of the current record show single channel opening and closing events (i.…”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression by Tingting Yang (166111)

“…In this study, using structure-based virtual screening and artificial intelligence (AI)-assisted optimization, we identified <b>Y36</b>, a benzene-substituted piperidinol derivative and potent GluN2A-selective PAM. <b>Y36</b> showed higher efficacy (<i>E</i>_max = 397.7%) than GNE-3419 (<i>E</i>_max = 196.4%), reducing the EC₅₀ values and increasing the <i>E</i>_max values for glutamate/glycine at GluN2A receptor. …”

Primer sequence of genes. by Wajeeha Komal (17873637)

“…<div><p>Increasing aquaculture production requires high-density farming, which induces stress, necessitating supplements to mitigate its effects and ensure fish health. …”

S1 Data - by Wajeeha Komal (17873637)

“…<div><p>Increasing aquaculture production requires high-density farming, which induces stress, necessitating supplements to mitigate its effects and ensure fish health. …”

Feed formulation with EDTA supplementation. by Wajeeha Komal (17873637)

“…<div><p>Increasing aquaculture production requires high-density farming, which induces stress, necessitating supplements to mitigate its effects and ensure fish health. …”

Distributions of unsafe transition periods. by Joshua Culpepper (20416983)

Primer sequences. by Koichi Yoshimoto (9298643)

“…We examined the mRNA expression of <i>Ddit3</i> (CHOP) and <i>Casp3</i> (caspase-3) on day one after the surgery; mRNA expression of both genes appeared to decrease in the KUS121 group, as compared with the control group, although differences between groups were not significant. …”

Reusable Amino Acid/<i>N</i>‑Isopropylacrylamide-Based Organogels for Efficient Oil and Solvent Removal from Water by Sandeep K. Sahoo (2891726)

“…Oil spills, waste disposal, synthetic organic compounds (SOCs), volatile organic compounds (VOCs), and other organic pollutants significantly contaminate the food chain and water supply. …”

Reusable Amino Acid/<i>N</i>‑Isopropylacrylamide-Based Organogels for Efficient Oil and Solvent Removal from Water by Sandeep K. Sahoo (2891726)

“…Oil spills, waste disposal, synthetic organic compounds (SOCs), volatile organic compounds (VOCs), and other organic pollutants significantly contaminate the food chain and water supply. …”

Reusable Amino Acid/<i>N</i>‑Isopropylacrylamide-Based Organogels for Efficient Oil and Solvent Removal from Water by Sandeep K. Sahoo (2891726)

“…Oil spills, waste disposal, synthetic organic compounds (SOCs), volatile organic compounds (VOCs), and other organic pollutants significantly contaminate the food chain and water supply. …”

The overall framework of CARAFE. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”