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Related Concept Videos

Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Related Experiment Video

Updated: May 23, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

VectorSage: enhancing PubMed article retrieval with advanced semantic search.

Yasas Wijesekara1, Rahul Brahma1, Mehdi Lotfi1

  • 1Institute of Bioinformatics, University Medicine Greifswald, Greifswald, 17475, Germany.

Bioinformatics Advances
|May 22, 2026
PubMed
Summary

VectorSage enhances biomedical literature searches by combining keyword relevance with semantic similarity. This advanced system improves knowledge discovery from vast academic resources.

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Last Updated: May 23, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Information Retrieval

Background:

  • The exponential growth of academic literature necessitates advanced search methods for efficient knowledge discovery.
  • Traditional keyword-based search engines face challenges with linguistic variability and lexical ambiguity, leading to imprecise search results.
  • Advances in natural language processing offer context-aware semantic similarity techniques to overcome limitations of basic text matching.

Purpose of the Study:

  • To develop an advanced biomedical search system for retrieving PubMed abstracts.
  • To improve the efficiency and precision of literature exploration and knowledge discovery.

Main Methods:

  • Developed VectorSage, a biomedical search system utilizing a hybrid approach.
  • Combined term relevance scoring with embedding-based semantic similarity for PubMed abstract retrieval.
  • Implemented a global ranking mechanism to sort retrieved documents, balancing semantic relevance and keyword specificity.

Main Results:

  • VectorSage provides an advanced system for retrieving PubMed abstracts.
  • The hybrid approach enhances search relevance by integrating semantic similarity with term relevance.
  • Global ranking improves the balance between semantic relevance and keyword specificity in search results.

Conclusions:

  • VectorSage offers an effective solution for navigating the growing body of biomedical literature.
  • The system facilitates efficient literature exploration and knowledge discovery through context-aware search.
  • This approach addresses the limitations of traditional search engines in handling linguistic complexity.