Wyniki wyszukiwania dla: bioinformatics
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Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition
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BALCONY: an R package for MSA and functional compartments of protein variability analysis
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Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment
PublikacjaWe present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody–antigen complexes, and 7 large assemblies. On average 70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups...
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Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment
PublikacjaWe present the results for CAPRI Round 50, the 4th joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 12 targets, including 6 dimers, 3 trimers, and 3 higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly...
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Assessment of chemical‐crosslink‐assisted protein structure modeling in CASP13
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Common functionally important motions of the nucleotide‐binding domain of H sp70
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Prediction of protein structure with the coarse-grained UNRES force field assisted by small X-ray scattering data and knowledge-based information
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Blind prediction of homo‐ and hetero‐protein complexes: The CASP13‐CAPRI experiment
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Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment
PublikacjaCritical Assessment of Structure Prediction (CASP) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV-2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on...
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Atomic resolution crystal structure of HV-BBI protease inhibitor from amphibian skin in complex with bovine trypsin
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Density functional theory calculations on entire proteins for free energies of binding: Application to a model polar binding site
PublikacjaIn drug optimization calculations, the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method can be used to compute free energies of binding of ligands to proteins. The method involves the evaluation of the energy of configurations in an implicit solvent model. One source of errors is the force field used, which can potentially lead to large errors due to the restrictions in accuracy imposed by its empirical nature....
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Inhibiting Activity of HIV-1: Protease, Reverse Transcriptase and Integrase All Together by Novel Compounds Using Computational Approaches
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Inhibiting activity of HIV-1: protease, reverse transcriptase and integrase all together by novel compounds using computational approaches (flexible and rigid docking)
PublikacjaAcquired immunodeficiency syndrome (AIDS), caused by human immunodeficiency virus type 1 (HIV-1) infection, is one of the most challenging diseases in recent decades. Nevertheless the shortcomings of chemical drugs such as toxicity, lack of curative effects, the search for more potent anti-HIV agents have been focused in our study. In current study, novel scaffold was designed having a benzyl and imidazole in it which are very...
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Matching Split Distance for Unrooted Binary Phylogenetic Trees
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GaMRed – adaptive filtering of high-throughput biological data
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3D Computer Model of the Hip Joint Cartilage
PublikacjaThis paper presents 3D computer model of the hip joint cartilage in the ANSYS program. Model is made on the basis of anatomy and collected data on the material constants of bone and cartilage components. Analysis and comparison of biochemical model, viscoelastic and molecular mixed - aggregation serves to facilitate the creation of the next model of reality, which could be used in the design of joint prostheses. The correctness...
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Molecular modeling and evaluation of novel dibenzopyrrole derivatives as telomerase inhibitors and potential drug for cancer therapy
PublikacjaDuring previous years, many studies on synthesis, as well as on anti-tumor, anti-inflammatory and anti-bacterial activities of the pyrazole derivatives have been described. Certain pyrazole derivatives exhibit important pharmacological activities and have proved to be useful template in drug research. Considering importance of pyrazole template, in current work the series of novel inhibitors were designed by replacing central...
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Matching Split Distance for Unrooted Binary Phylogenetic Trees
PublikacjaRekonstrukcja drzew ewolucji jest jednym z głównych celów w bioinformatyce. Drzewa filogenetyczne reprezentuje historię ewolucji i związki pokrewieństwa między różnymi gatunkami. W pracy proponujemy nową ogólną metodę określania odległości między nieukorzenionymi drzewami filogenetycznymi, szczególnie użyteczną dla dużych zbiorów gatunków. Następnie podajemy szczegółowe własności jednej metryki określonej przy użyciu tej metody...
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Joanna Polanska Prof. dr hab. inż.
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Ahmer Bin Hafeez
OsobyI have experience in Computational Biology, particularly bioinformatics, homology modeling, phylogenetics, structural biology, and drug discovery. Furthermore, I have hands-on experience with Bioinformatics software. Currently, my interest lies in translatable omics studies and drug discovery against novel protein targets involved in cancer and infectious diseases and Host-Pathogen PPIs. My aim involves the use of computational...
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Joanna Raczek dr inż.
OsobyWykształcenie 1997 -- 2001 Studia inżynierskie, Wydział Fizyki Technicznej i Matematyki Stosowanej, Politechnika Gdańska. Kierunek: Matematyka, specjalność: Matematyka Stosowana. 2001 -- 2003 Studia magisterskie, Wydział Fizyki Technicznej i Matematyki Stosowanej, Politechnika Gdańska. Kierunek: Matematyka, specjalność: Matematyka Stosowana. 2000 -- 2004 Studia inżynierskie, Wydział Elektroniki, Informatyki i Telekomunikacji,...
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Alhassan Ali Ahmed
OsobyAlhassan Ali Ahmed BSc of pharmacy, MSc in Bioinformatics and Biotechnology, and currently doing his PhD in Bioinformatics and Machine Learning. Alhassan has considerable experience in the pharmaceutical industry as he worked before in different positions such as; Community pharmacist, Medical advisor, Antibiotics production specialist, Quality assurance specialist, Key account manager for Immunotherapeutic medications, and currently,...
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Identification of evolutionary conserved DNA sequence and corresponding S21 ribosomal protein region for diagnostic purposes of all Borrelia spirochetes
PublikacjaIt is still under investigation, whether all Borrelia sp. causing Lyme borreliosis and other diseases are already identified and properly classified as human pathogens. For this reason, it is of great importance to develop a diagnostic ELISA test that detects all Borrelia sp. The aim of this study was to identify conserved DNA and protein regions present in all currently known Borrelia sp. In experimental studies 31 available Borrelia...
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In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies
PublikacjaDespite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding...
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Assessment Of the Relevance of Best Practices in The Development of Medical R&D Projects Based on Machine Learning
PublikacjaMachine learning has emerged as a fundamental tool for numerous endeavors within health informatics, bioinformatics, and medicine. However, novices among biomedical researchers and IT developers frequently lack the requisite experience to effectively execute a machine learning project, thereby increasing the likelihood of adopting erroneous practices that may result in common pitfalls or overly optimistic predictions. The paper...
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In Silico Safety Assessment of Bacillus Isolated from Polish Bee Pollen and Bee Bread as Novel Probiotic Candidates
PublikacjaBacillus species isolated from Polish bee pollen (BP) and bee bread (BB) were characterized for in silico probiotic and safety attributes. A probiogenomics approach was used, and in-depth genomic analysis was performed using a wide array of bioinformatics tools to investigate the presence of virulence and antibiotic resistance properties, mobile genetic elements, and secondary metabolites. Functional annotation and Carbohydrate-Active...
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Molecular Strategy for Survival at a Critical High Temperature in Eschierichia coli
PublikacjaThe molecular mechanism supporting survival at a critical high temperature (CHT) in Escherichia coli was investigated. Genome-wide screening with a single-gene knockout library provided a list of genes indispensable for growth at 47°C, called thermotolerant genes. Genes for which expression was affected by exposure to CHT were identified by DNA chip analysis. Unexpectedly, the former contents did not overlap with the latter except...
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Novel staphylococci nucH taxonomical marker used in identification of human-associated Staphylococcus succinus subsp. casei
PublikacjaThe aim of our study was to assess the sequencing of unique nucH gene fragment based on performed bioinformatics analysis as a novel diagnostic method for the identification of difficult to identify staphylococcal human pathogenic strains. Initially, PCR-RFLP-rrn analysis specific to the spacers between 16SrDNA and 23SrDNA followed by HhaI restriction analysis was performed. Further, sequencing of nucH and 16S rDNA genes fragments...
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Multi-GPU-powered UNRES package for physics-based coarse-grained simulations of structure, dynamics, and thermodynamics of protein systems at biological size- and timescales
PublikacjaCoarse-grained models are nowadays extensively used in biomolecular simulations owing to the tremendous extension of size- and time-scale of simulations. The physics-based UNRES (UNited RESidue) model of proteins developed in our laboratory has only two interaction sites per amino-acid residue (united peptide groups and united side chains) and implicit solvent. However, owing to rigorous physics-based derivation, which enabled...
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New Approaches for Escherichia coli Genotyping
PublikacjaEasy-to-perform, fast, and inexpensive methods of differentiation of Escherichia coli strains beyond the species level are highly required. Herein two new, original tools for genotyping of E. coli isolates are proposed. The first of the developed method, a PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) test uses a highly variable fliC gene, encoding the H antigen as a molecular target. The designing...
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Halgurd Nadhim Mohammed PhD student
OsobyI hold a master's degree in medical biology from Van Yüzüncü Yıl University- Turkey in 2017. I received a bachelor's degree in biology at Kirkuk University in 2011.I am a head of the Anesthesia department and lecturer at the Pharmacy Department at Kurdistan Technical Institute- Sulaimani, which is a private institute affiliated with the Ministry of higher education and Scientific Research of Kurdistan Region- Iraq. Recently, I...
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Circulating miRNA profiles and the risk of hemorrhagic transformation after thrombolytic treatment of acute ischemic stroke: a pilot study
PublikacjaBackground: Hemorrhagic transformation (HT) in acute ischemic stroke is likely to occur in patients treated with intravenous thrombolysis (IVT) and may lead to neurological deterioration and symptomatic intracranial hemorrhage (sICH). Despite the complex inclusion and exclusion criteria for IVT and some useful tools to stratify HT risk, sICH still occurs in approximately 6% of patients because some of the risk factors for this...
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BIOSTATYSTYKA
Kursy OnlineCelem przedmiotu biostatystyka jest przedstawienie narzędzi praktycznych z zakresu analizy zmiennych biologicznych i biomedycznych przy wykorzystaniu programów Excel oraz SAS (North Carolina, USA). Program SAS jest najczęściej używanym narzędziem do analiz statystycznych w przemyśle i badaniach naukowych. Student uzyskuje umiejętności niezbędne podczas projektowania i prowadzenia eksperymentów naukowych oraz prowadzenia prac badawczych...
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Krzysztof Pastuszak mgr inż.
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DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
PublikacjaWe present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as different as uPBM, gcPBM and HT-SELEX with an excellent performance, much better than existing algorithms. Due to its nature, the method can...
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Prediction of Bioactive Peptides From Chicken Feather and Pig Hair Keratins Using In Silico Analysis Based on Fragmentomic Approach
PublikacjaBackground: Keratin is among the most abundant structural proteins of animal origin, however it remains broadly underutilized. Objective: Bioinformatic investigation was performed to evaluate selected keratins originating from mass-produced waste products, i.e., chicken feathers and pig hair, as potential sources of bioactive peptides. Methods: Pepsin, trypsin, chymotrypsin, papain, and subtilisin were used for in silico keratinolysis...
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Qualitative analysis of phospholipids and their oxidised derivatives – used techniques and examples of their applications related to lipidomic research and food analysis
PublikacjaPhospholipids (PLs) are important biomolecules that not only constitute structural building blocks and scaffolds of cell and organelle membranes, but also play a vital role in cell biochemistry and physiology. Moreover, dietary exogenous PLs are characterized by high nutritional value and other beneficial health effects, which are confirmed by numerous epidemiological studies. For this reason, PLs are of high interest in lipidomics...
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Konrad Stawiski dr n. med.
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Marcin Golebiewski PhD
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Anoop Kallingal M.Sc
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Anna Toruńska-Sitarz
OsobyToruńska-Sitarz Anna, dr (anna.torunska@ug.edu.pl, https://www.researchgate.net/profile/Anna_Torunska-Sitarz) – absolwentka Oceanografii na Uniwersytecie Gdańskim, adiunkt w Zakładzie Biotechnologii Morskiej na Wydziale Oceanografii i Geografii UG. Autorka kilkunastu publikacji naukowych, wykonawca w projektach krajowych i międzynarodowych finansowanych przez m.in. NCN, 7PR UE, COST, Interreg. Jej zainteresowania badawcze dotyczą...
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Asad Jan Mr.
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Dharm Jain
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