IPAT: a freely accessible software tool for analyzing multiple patent documents with inbuilt landscape visualizer.

Intelligent Patent Analysis Tool (IPAT) is an online data retrieval tool, operated based on text mining algorithm to extract specific patent information in a predetermined pattern into an Excel sheet. The software is designed and developed to retrieve and analyze technology information from multiple patent documents and generate various patent landscape graphs and charts. The software is C# coded in visual studio 2010, which extracts the publicly available patent information from the web pages like Google Patent and simultaneously study the various technology trends based on user-defined parameters.

Technology whitespaces India should focus: a comparative anti-cancer patent rational analysis of Indian and international public funded universities.

The article reported an in-depth comparative technology analysis of 1708 Anti-cancer patents from top 20 international universities and leading 10 Indian public funded organization and research institutes. The study segregated pioneer universities vs. technologies used in the field of Anticancer research at a level of drug discovery, development, diagnosis and treatment, which are illustrated in the form of novel substantive patent landscape maps.

Clearing the fog of anticancer patents from 1993-2013: through an in-depth technology landscape & target analysis from pioneer research institutes and universities worldwide.

Background: In a search for an effective anticancer therapy the R&D units from leading universities and institutes reveal numerous technologies in the form of patent documents. The article addressed comparative anticancer patent landscape and technology assessment of Council of Scientific and Industrial Research (CSIR): India's largest R&D organisation with top twenty international public funded universities and institutes from eight different countries.

Methodology/principal Findings: The methodology include quantitative and qualitative assessment based on the bibliometric parameters and manual technology categorisation to understand the changing patent trends and recent novel technologies.

Anticancer patent landscape and technology assessment of Indian public-funded research institutes and organizations.

Introduction: This review discusses the various drug therapeutic targets and latest technologies of anticancer patents from 10 Indian public-funded research organizations covering more than 150 esteemed institutes. We have identified and reported the leading assignee and inventors along with their collaboration network and, thereby, have analyzed the various patent trends, geographical distributions, citation maps, Derwent World Patents Index, international patent classification analysis and the like.

Areas Covered: This article provides the insights of 1905 patent documents from 191 families and discusses in-depth anticancer technology through categorization studies at the level of drug discovery, drug development and treatment and diagnosis.

Laboratory dialysis--past, present and future.

Laboratory dialysis, one of the most widely used techniques in biological research is truly a ' gateway technology' . The analogy is to that of a ' gate' of a building through which everybody has to pass, even though they may wish to go to different departments. Similarly, researchers may be working in altogether different areas but all may need to use laboratory dialysis at one stage or the other during the course of their research.

Simplified receptor based pharmacophore approach to retrieve potent PTP-LAR inhibitors using apoenzyme.

The design of biological active compounds from the apoenzyme is still a challenging task. Herein a simple yet efficient technique is reported to generate a receptor based pharmacophore solely using a ligand-free protein crystal structure. Human leukocyte antigen-related phosphatase (PTP-LAR) is an apoenzyme and a receptor like transmembrane phosphatase that has emerged as a drug target for diabetes, obesity and cancer.

Identification of novel, less toxic PTP-LAR inhibitors using in silico strategies: pharmacophore modeling, SADMET-based virtual screening and docking.

Human leukocyte antigen-related (PTP-LAR) is a receptor-like transmembrane phosphatase and a potential target for diabetes, obesity and cancer. In the present study, a sequence of in silico strategies (pharmacophore mapping, a 3D database searching, SADMET screening, and docking and toxicity studies) was performed to identify eight novel nontoxic PTP-LAR inhibitors. Twenty different pharmacophore hypotheses were generated using two methods; the best (hypothesis 2) consisted of three hydrogen-bond acceptor (A), one ring aromatic (R), and one hydrophobic aliphatic (Z) features.

Targeting PKC-β II and PKB Connection: Design of Dual Inhibitors.

Protein kinase C (PKC) has been the center of many cell signaling pathways. PKC isoforms, specifically PKC-β II is linked to both diabetic complications as well as in promotion of angiogenesis and regulation of cancers. PKC-β II activates the PKB/Akt pathway.

Probing interaction requirements in PTP1B inhibitors: a comparative molecular dynamics study.

Molecular dynamics studies were performed on eight different crystal structure complexes of protein tyrosine phosphatase 1B (PTP1B) to study energy components and interactions important for the binding of substrates/inhibitors. Calculation of the binding free energy and the different components was accomplished using molecular mechanics--Poisson-Boltzmann surface area and--generalized Born surface area methods. Free energy was decomposed into individual amino acid contribution to know the relative importance.