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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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Dados para acelerar o processo de descoberta de medicamentos

Graças às nossas centenas de cientistas e à profunda cobertura da literatura científica ao longo do último século, o CAS ajuda os cientistas da descoberta de medicamentos a acompanhar os últimos avanços e as bases sobre as quais eles são construídos. Se você está procurando alvos de doenças, planejando estudos de relação estrutura-atividade (SAR), avaliando o potencial de atividade fora do alvo ou respondendo às muitas perguntas de arquivamento de novos medicamentos pré-investigacionais (IND), economize tempo aproveitando a riqueza de dados 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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