A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality [0.03%]
Ronit Mandal,Sara Malvar,Ranveer Chandra et al.
Ronit Mandal et al.
The food industry is witnessing the emergence of specialized protein-based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and...
In Silico and In Vitro Analysis of Ganoderic Acid A Binding to Human Monocarboxylate Transporters 1 and 4 [0.03%]
灵芝酸A与人类单羧酸转运蛋白1和4的结合的计算机模拟及体外分析
Mona Alrasheed Bashir,Chang-Sheng Shao,Mohnad Abdalla et al.
Mona Alrasheed Bashir et al.
In recent years, the search for novel anticancer agents has increasingly focused on monocarboxylate transporters (MCTs) because of their involvement in tumor metabolism. Ganoderic acid A (GAA), a triterpenoid derived from the medicinal mush...
Bioinformatics-Driven Design and Evaluation of Recombinant Multi-Epitope Immunogens Derived From Snake Venom Toxins as Potential Antivenom Candidates [0.03%]
基于生物信息学的重组多表位免疫原的设计与评价：来源于蛇毒蛋白质的抗毒素候选疫苗的构建及评估
Hanan Maoz,Amir Elalouf
Hanan Maoz
Snakebite envenomation is a major public health concern, particularly in low- and middle-income regions where access to safe and effective antivenoms is limited. Traditional antivenoms, derived from immunization with crude venom, often trig...
Comparative Binding Dynamics of Minibinder 8.6 and HBD3 With TLR3 as Adjuvants for Developing a Peptide-Based Multi-Epitope Subunit Vaccine Against mCRPC: A Molecular Dynamics Study [0.03%]
用于开发mCRPC肽基多表位亚单位疫苗的TLR3佐剂的Minibinder 8.6和HBD3结合动力学比较：分子动力学研究
Ishani Paul,Soumyadeep Ray,Muskan Tewari et al.
Ishani Paul et al.
Metastatic castration resistance prostate cancer (mCRPC) is the advanced state of prostate cancer where majority of patients succumb to ineffective treatment perspectives like androgen deprivation alongside salvage therapies. mCRPC is predo...
AlphaFold2-Guided Cyclic Peptide Stabilizer Design to Target Protein-Protein Interactions [0.03%]
基于AlphaFold2的环肽稳定剂设计以靶向蛋白质-蛋白质相互作用
Niklas Halbwedl,Martin Zacharias
Niklas Halbwedl
The control and modulation of protein-protein interactions (PPIs) is of central importance for the majority of biological processes and most biomedical applications. Stabilization of PPIs, besides inhibition, is of growing pharmaceutical in...
Computationally Efficient Network Models Successfully Predict Allosteric Sites of SARS-CoV-2 Main Protease and Reveal Its Dynamic Allostery [0.03%]
计算效率高的网络模型可成功预测冠状病毒主蛋白酶的别构位点并揭示其动态别构性
Merve Yuce,Ozge Kurkcuoglu
Merve Yuce
Developing allosteric drugs to treat pathogenic diseases can offer a promising alternative to orthosteric drugs that may bind to conserved motifs in human homologs. The allosteric drugs bind to allosteric sites, induce changes in the target...
Haoyu Chen,Fengjiao Wei,Jiajie Li et al.
Haoyu Chen et al.
Proteolysis Targeting Chimeras (PROTACs) represent a transformative approach to drug development by leveraging the intracellular ubiquitin-proteasome system (UPS) for the selective degradation of target proteins. A PROTAC molecule comprises...
Identification and Characterization of Outer Membrane Proteins and Membrane Spanning Protein Complexes in Brucella melitensis [0.03%]
副溶血性弧菌外膜蛋白及跨膜蛋白复合物的鉴定与表征
Jahnvi Kapoor,Amisha Panda,Ilmas Naqvi et al.
Jahnvi Kapoor et al.
Brucellosis (Malta fever) is a zoonotic disease that affects both humans and animals, including cattle, sheep, and goats. Brucella melitensis is the most virulent and clinically significant species in humans. It is a gram-negative bacterium...
Improving Effector Protein Prediction in Phytoplasmas Through Structural Analysis of Signal Peptide Cleavage [0.03%]
通过信号肽切割的结构分析改善植物支原体效应蛋白预测
Kayhan Derecik,Isil Tulum
Kayhan Derecik
Phytoplasmas are highly destructive phloem-restricted pathogens, acting as obligate plant parasites transmitted by sap-feeding insect vectors. They infect over 1000 plant species, including critical crops, leading to severe agricultural los...