Article
Mathematics
Xu Xu, Chao Zheng
Summary: This paper introduces the combinatorial alpha-curvature for discrete conformal structures on polyhedral surfaces and proves its local and global rigidity. The authors also study the combinatorial alpha-Ricci flow to address the Yamabe problem for combinatorial alpha-curvature and provide a method to handle potential singularities. Finally, the paper shows that under the existence of a discrete conformal structure with prescribed combinatorial curvature, the solution of the extended combinatorial alpha-Ricci flow is both existent and converges, and presents an algorithm for finding solutions.
JOURNAL OF FUNCTIONAL ANALYSIS
(2022)
Article
Computer Science, Artificial Intelligence
Lu Zhang, Li Wang, Dajiang Zhu
Summary: Understanding the relationship between brain structure and function is crucial for uncovering organizational principles of the human brain. This study proposes a method called MGCN-GAN, which combines generative adversarial networks and graph convolutional networks, to infer individual structural connectivity based on functional connectivity. Experimental results demonstrate that the model can generate reliable individual structural connectivity across different individuals.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Biology
Amandeep S. Arora, Hsiang-Ling Huang, Ramanpreet Singh, Yoshie Narui, Andrejus Suchenko, Tomoyuki Hatano, Sarah M. Heissler, Mohan K. Balasubramanian, Krishna Chinthalapudi, Pekka Lappalainen
Summary: The structures of actin isoforms have been determined at high resolution, revealing their specific conformations and isoform-specific interfaces. These findings provide important insights into the function of actin isoforms and contribute to our overall understanding of cytoskeletal physiology.
Article
Chemistry, Multidisciplinary
Shuo Yang, Chenxi Zhao, Jing Ren, Ke Zheng, Zhengzhong Shao, Shengjie Ling
Summary: Fibrous networks are crucial in various biological and engineered materials, and understanding their structural features is essential for studying their properties. This paper introduces a fibrous network-deep learning system that accurately assesses the structure and mechanics of fibrous networks.
Article
Biotechnology & Applied Microbiology
Yunlei Yi, Shenyuan Xu, Andrey Kovalevsky, Xia Zhang, Dongyang Liu, Qun Wan
Summary: A GH11 family xylanase, Xyn11A, with high thermostability and catalytic activity was discovered, exhibiting optimal reaction temperature at 80 degrees C with activity of 2907.3 U/mg. Xyn11A has a compact structure with more H-bonds, and electrostatic interactions in specific regions contribute to its high thermostability and activity. Introduction of a disulfide bond at the N-terminus further increased its optimal reaction temperature to 90 degrees C with augmented activity.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Feng Wang, Chendi Zhang, Haijiang Xu, Wanting Zeng, Lixin Ma, Zhuang Li
Summary: TccCas13a, a Cas13a protein from thermophilic bacteria, shows high thermostability and lacks pre-crRNA processing activity. Its structures were analyzed and compared with other Cas13a proteins, providing insights for the development of TccCas13a-based applications.
JOURNAL OF MOLECULAR BIOLOGY
(2023)
Article
Biophysics
Peng-Cheng Chen, Xi-Qiao Feng, Bo Li
Summary: This article proposes a unified two-dimensional multiscale framework incorporating chemomechanical feedback to explore cellular mechanosensing, polarization, and migration in response to matrix stiffness. By combining integrin dynamics and intracellular force transduction, the authors demonstrate that substrate stiffness can switch the activation or deactivation of cell polarization. Their theory accurately reproduces various stiffness-dependent cellular dynamics and reconciles inconsistent experimental observations. The study reveals that a specific bipolarized mode determines the optimal substrate stiffness for the fastest cell migration, rather than the largest traction forces. These findings are significant for understanding tissue morphogenesis, wound healing, and cancer invasion mediated by stiffness.
BIOPHYSICAL JOURNAL
(2022)
Review
Cell Biology
Gabriela Chiosis, Chander S. Digwal, Jane B. Trepel, Len Neckers
Summary: Heat shock protein 90 (HSP90) is a versatile chaperone that plays essential roles in protein folding and maturation. Recent studies have shown that HSP90 exists in multiple structural forms, including homo-oligomers and hetero-oligomers called epichaperomes. Various factors such as stress, post-translational modifications, and co-chaperones influence the formation of these oligomers and impact their functional diversity. Understanding the complex structure-function relationship of HSP90 is crucial for the development of effective therapeutics, particularly in cancer treatment.
NATURE REVIEWS MOLECULAR CELL BIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Gincy M. Mathew, Aravind Madhavan, K. B. Arun, Raveendran Sindhu, Parameswaran Binod, Reeta Rani Singhania, Rajeev K. Sukumaran, Ashok Pandey
Summary: Chitinases play important roles as biocontrol agents and the thermophilic and thermostable chitinases are gaining popularity for their ability to withstand high temperatures. Improving enzyme stability through gene manipulation is key for potential applications in industrial, agricultural, and pharmaceutical fields.
APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
(2021)
Article
Chemistry, Applied
Jaroslaw Czubinski
Summary: A multidimensional analysis was conducted to study the thermal impact on ?-conglutin in different oligomeric states. The unfolding pattern differed between the hexamer and monomer, with the hexamer molecules showing aggregation/precipitation while monomers formed soluble aggregates. Differences in the movements of aromatic amino acid residues resulted in a red-shift for the hexamer and a blueshift for the monomer during thermal treatment.
Article
Chemistry, Applied
Xing Wang, Tian Lan, Manzhe Jin, Yabo Dong, Jiajia Shi, Zejian Xu, Lianzhou Jiang, Yan Zhang, Xiaonan Sui
Summary: The modification of soy protein refers to altering its physical, chemical, or functional properties to improve its applicability in various industries. This study used metal-phenolic networks (MPNs) to modify soy protein for the first time, resulting in improved foaming properties and reduced hydrophobicity. The emulsions stabilized by MPNs also showed smaller droplet size and higher modulus with increasing complex concentration. This research demonstrates the feasibility of using MPNs as a novel method to improve the functional properties of soy protein.
FOOD HYDROCOLLOIDS
(2023)
Article
Agriculture, Multidisciplinary
Qi Li, Yaoyao Dong, Yuan Gao, Shuang-kui Du, Wenhao Li, Xiuzhu Yu
Summary: The study revealed that fatty acids with a shorter carbon chain or a greater number of double bonds contributed to the formation of V-type starch-lipid complexes, and starch-unsaturated fatty acid complexes prepared at high temperature showed better thermostability, strong positive correlation with resistant starch contents and melting temperatures.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Article
Chemistry, Physical
Rita Berisio, Giovanni Barra, Maria Romano, Flavia Squeglia, Alessia Ruggiero
Summary: This article introduces a putative endo-beta-1,4-glucanase (DtCel5A) identified through bioinformatics, and investigates its structural and functional characteristics. It is found that DtCel5A shows remarkable thermal and chemical stability, and retains its activity on cellulose at high temperatures and elevated salt concentrations.
Review
Biochemistry & Molecular Biology
Kornelius Zeth, Enea Sancho-Vaello
Summary: The human cathelicidin LL-37 is a versatile peptide with antimicrobial activity, playing a crucial role in targeting microorganisms. Recent structural studies have revealed the diversity and adaptability of LL-37 in interacting with lipid-like molecules. Complexes of LL-37 with detergents provide insights into mimicking lipids and inducing oligomerization and fibrillation, opening avenues for designing LL-37-derived peptides with enhanced antibiotic properties.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Neurosciences
Caio Seguin, L. Sina Mansour, Olaf Sporns, Andrew Zalesky, Fernando Calamante
Summary: Structural and functional brain networks are modular, but the modules in the structural network do not always correspond to the functional systems. By modeling indirect communication, particularly polysynaptic connectivity, we can better understand the modular organization of the brain's functional systems. This suggests that functional modules emerge from the constraints imposed by local network structure and diffusive neural communication.
Article
Cell Biology
Denes Tuerei, Laszlo Foeldvari-Nagy, David Fazekas, Dezso Modos, Janos Kubisch, Tamas Kadlecsik, Amanda Demeter, Katalin Lenti, Peter Csermely, Tibor Vellai, Tamas Korcsmaros
Article
Oncology
Andrey Alexeyenko, Twana Alkasalias, Tatiana Pavlova, Laszlo Szekely, Vladimir Kashuba, Helene Rundqvist, Peter Wiklund, Lars Egevad, Peter Csermely, Tamas Korcsmaros, Hayrettin Guven, George Klein
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
(2015)
Review
Chemistry, Medicinal
Marton David Gyurko, Attila Stetak, Csaba Soti, Peter Csermely
MINI-REVIEWS IN MEDICINAL CHEMISTRY
(2015)
Review
Oncology
Peter Csermely, Janos Hodsagi, Tamas Korcsmaros, Dezso Modos, Aron R. Perez-Lopez, Kristof Szalay, Daniel V. Veres, Katalin Lenti, Ling-Yun Wu, Xiang-Sun Zhang
SEMINARS IN CANCER BIOLOGY
(2015)
Article
Multidisciplinary Sciences
Aron R. Perez-Lopez, Kristof Z. Szalay, Denes Tuerei, Dezso Modos, Katalin Lenti, Tamas Korcsmaros, Peter Csermely
SCIENTIFIC REPORTS
(2015)
Article
Multidisciplinary Sciences
M. David Gyurko, Peter Csermely, Csaba Soti, Attila Stetak
SCIENTIFIC REPORTS
(2015)
Article
Multidisciplinary Sciences
Istvan A. Kovacs, Reka Mizsei, Peter Csermely
SCIENTIFIC REPORTS
(2015)
Review
Cell Biology
Ruth Nussinov, Chung-Jung Tsai, Hyunbum Jang, Tamas Korcsmaros, Peter Csermely
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY
(2016)
Review
Cell Biology
Peter Csermely, Tamas Korcsmaros, Ruth Nussinov
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY
(2016)
Article
Developmental Biology
Kitti Csalyi, David Fazekas, Tamas Kadlecsik, Denes Turei, Leila Gul, Balazs Horvath, Dezso Modos, Amanda Demeter, Nora Papai, Katalin Lenti, Peter Csermely, Tibor Vellai, Tamas Korcsmaros, Mate Varga
Article
Oncology
Hans-Olov Adami, Peter Csermely, Daniel V. Veres, Louise Emilsson, Magnus Loberg, Michael Bretthauer, Mette Kalager
EUROPEAN JOURNAL OF CANCER
(2017)
Review
Biochemistry & Molecular Biology
David M. Gyurko, Csaba Soti, Attila Stetak, Peter Csermely
CURRENT PROTEIN & PEPTIDE SCIENCE
(2014)
Article
Chemistry, Medicinal
Kristof Z. Szalay, Ruth Nussinov, Peter Csermely
MOLECULAR INFORMATICS
(2014)
Article
Biochemistry & Molecular Biology
Daniel V. Veres, David M. Gyurko, Benedek Thaler, Kristof Z. Szalay, David Fazekas, Tamas Korcsmaros, Peter Csermely
NUCLEIC ACIDS RESEARCH
(2015)
Article
Multidisciplinary Sciences
Dezso Modos, Johanne Brooks, David Fazekas, Eszter Ari, Tibor Vellai, Peter Csermely, Tamas Korcsmaros, Katalin Lenti
SCIENTIFIC REPORTS
(2016)