Posts

Showing posts with the label interactions

Workshop On Bioinformatics and Protein Structure Prediction

Image
              Know About Our Workshop On Bioinformatics and Protein Structure Prediction 10th to 12th May 2019 | Pune, India | 09:30 AM - 05:00 PM Our 3 day comprehensive workshop on Bioinformatics and Protein Structure Prediction aims at providing systematic Hands-on-Training on Protein visualization, mutation & other manipulations.Understand concept of in-silico protein modelling using servers & software’s.Understanding concept of protein motif and domains.Understanding concept of protein structure prediction by Modeller COMPREHENSIVE & SEQUENTIAL SESSIONS ON: ▪ Introduction to Biological databases ▪ Multiple Sequence Alignment – CLUSTALW ▪ Introduction to Proteins & Protein Databases-UNIPROT ▪ Study of proteins and their structures ▪ Protein Secondary Structure Prediction tools ▪ Protein Tertiary Structure Prediction using Servers & Modeller ▪ Protein Structure Validation ...

Applications are invited for PhD Assistance program 2016(Seconded batch)

After the immensely huge success of our PhD Assistance program last year, we decided to give back more avail to PhD aspirants this year withal. Students will be taken on first come basis. Only Master’s in life-science students can apply. Register soon to avail an Opportunity to get a fully funded PhD in USA. REGISTER HERE PhD Assistance Training Program Highlights of the program 2 compulsory Paper Publication in peer reviewed journal along with pub med citation 1 Review Paper publication Privilege of working under the eminent scientist from NIH,USA Special coaching for ‘Research Methodology’ subject by eminent scientist Introducing students to various PhD notification website, forum and blogs etc. Preparing a motivation letter /cover letter based on PhD openings Helping to draft a proper project proposal depending on PhD opening Application & Transcripts Procedure Preparing PhD oriented resume Providing appropriate reference/recommendation letter. Providing Exper...

4 Days Workshop on In silico Drug Discovery

Image
Is organizing "4 Days Workshop on In silico Drug Discovery (21st-24th Jan2016)” Know about drug discovery & optimize your research work CADD is a rapidly developing branch of chemistry. In the coming days the students who have studied CADD will be required not only in India but  across the globe for advanced research and new discovery.The requirement of trained manpower from the discipline such as Chemistry, Biology and Microbiology is the fuel for the growth of CADD.  Application of CADD is in areas like Agrochemical, pharmaceutical and biotechnological industries, Computational chemistry and library design groups, Chemical software companies, Database developers, Chemical publishers, In-silico Drug Discovery, Toxicity predictions, ADME prediction of Molecules, Chemicals Vendors , R&D, etc. On completion of this workshop you will be expertise in: ü        Analyzing chemical fingerprint ü     ...

Interesting story about Nicholas Tatonetti & his New Computational Tools to Study Drug Effects

Courtesy Genomeweb & Julia Karow   Studying for a dual degree in mathematics and molecular biology, Nick Tatonetti became interested in using computational models to study biology and make sense of its massive datasets. As a bioinformatics PhD student at Stanford, he developed new statistical models and computational approaches for analyzing drug effects and drug-drug interactions. At Columbia, Tatonetti is now focusing on molecular mechanisms of drugs. "We can actually think of each time a patient is being given a drug as an experiment," he says. "When the drug goes into the human system, it interacts molecularly, and then phenotypes come out of this system," which can be connected to molecular mechanisms in new ways. In particular, he is developing techniques that use clinical data to develop networks that highlight interactions between different systems in the human body, such as two organs. "And once we know that certain gene produc...

Extending pathways and processes using molecular interaction networks to analyse cancer genome data

This something really interesting to PPI, Systems biology  and molecular networks people, I just recently came across, Cellular processes and pathways, whose deregulation may contribute to the development of cancers, are often represented as cascades of proteins transmitting a signal from the cell surface to the nucleus. However, recent functional genomic experiments have identified thousands of interactions for the signalling canonical proteins, challenging the traditional view of pathways as independent functional entities. Combining information from pathway databases and interaction networks obtained from functional genomic experiments is therefore a promising strategy to obtain more robust pathway and process representations, facilitating the study of cancer-related pathways.  Results: We present a methodology for extending pre-defined protein sets representing cellular pathways and processes by mapping them onto a protein-protein interaction network, and extending them t...

NIH Grants $45M for Genome Science Centers

The National Institutes of Health has pledged $45 million in grants to establish two new genomics centers at the University of North Carolina at Chapel Hill and at the Medical College of Wisconsin (MCW), as well as to continue funding existing centers at Johns Hopkins University and at the University of Southern California. The two new Centers of Excellence in Genomic Science at UNC and MCW will pursue genomics studies of mental health and gene regulation , respectively. Under the new grants, MCW will receive around $8 million over three years and UNC will reap around $8.6 million over five years from the National Human Genome Research Institute and the National Institute of Mental Health. Johns Hopkins' genomics center will receive around $16.8 million over five years to continue epigenetics of disease studies and USC will use around $12 million over the same period to conduct computational and informatics-based research of genetic variation and disease . "Our aim is to ...

Researcher at Molecular Connections develop a Alzheimer disease Pathways Compendium for inclusion at the Alzforum

Image
This Pathways Compendium provides an index of Alzheimer disease pathway models contributed by researchers and companies. Probable Interaction Networks Involved in Pathology of Alzheimer Disease: Predicting Targets and Therapeutic Agents - NetPro™ based Study . Developed by researchers at Molecular Connections Private Limited, an in silico discovery services company. Users can click on a specific node (molecule) to get information on all interactions of the molecule in the given network. Click on the interaction arrows for information on the specific interaction. The Alzheimer Research Forum is a Pioneering Biomedical Web Community . Founded 13 years ago when the Web was still in its infancy, the "Alzforum" has more than 5,000 registered members and is familiar to most Alzheimer scientists in the world. XTractor Premium - A Platform for discovery , knowledge sharing, analysis and modelling of published biomedical facts. The only Knowledgebase which provides "manu...

Only knowledgebase that updates its data content on a daily basis!

XTractor Knowledgebase XTractor is the first of its kind web 2.0 application which enables researchers to analyze the most current complex biological and chemical relationships published in PUBMED everyday. XTractor Knowledgebase now contains more than 100000 relationships on interactions, regulations and modulations between proteins, drugs, processes and disease. It is the only knowledgebase that updates its data content on a daily basis. The Approach: The Data behind XTractor comes from manual annotation, which is carried out by qualified scientists at Molecular Connections, INDIA ( www.molecularconnections.com ). Our scientists regularly handpick and annotate the most relevant sentences to public ontologies. Each of the data points is quality checked to ensure the highest levels of data accuracy. The extracted facts are also referenced back to the PubMed abstract(s).The sentences in XTractor are also manually c...