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CAS Life Sciences Data

When making new life sciences discoveries, complete, connected data is crucial for success. Dive deep into relationships between diseases, targets, and novel molecules with the world’s most trusted and reliable source of scientific information, the CAS Content Collection™.

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Datos para acelerar el proceso de descubrimiento de fármacos

Gracias a nuestros cientos de científicos y a la amplia cobertura de la literatura científica durante el último siglo, CAS ayuda a los científicos de descubrimiento de fármacos a mantenerse al día con los últimos avances y los cimientos sobre los que se construyen. Ya sea que esté buscando objetivos de enfermedades, planificando estudios de estructura-actividad-relación (SAR), evaluando el potencial de actividad fuera del objetivo o respondiendo a las muchas preguntas previas a la presentación de nuevos medicamentos (IND) antes de la investigación, ahorre tiempo aprovechando la gran cantidad de datos publicados existentes.

SAR, ADME data, toxicity values, and other bioactivity observations and pharmacological data facilitate the discovery of novel targets for therapeutic intervention.

Indexed nucleic acid and protein sequences provide a better understanding of how sequence changes affect biological functions.

Molecular biomarkers used in predictions, diagnoses, and prognoses reveal underlying causes and effects of a disease.

Metabolic signaling pathways and interactions further enable inferences and discoveries of connections between diseases, molecules, and pharmacological responses.

Antibodies, antibody-drug conjugates, antibody-fusion proteins, chimeric antigen receptors, and related engineered proteins hold diagnostic, therapeutic, or immune indications/applications.

Connections between disparate data types reveal reliable critical relationships.

"The comprehensiveness of the CAS database is unparalleled."
TVID: 17E-012-6D1
R&D vice president/director,
Small business pharmaceuticals company
CAS data experts Nicole Stobart, Jeff Wilson, Ph.D., and Mark Schmidt examine the difficulties and importance of creating new authority constructs to organize life sciences data.
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