Exosites, defined as protein surface regions that mediate macromolecular recognition at sites distinct from catalytic centers, represent emerging targets for selective drug design, yet their structural diversity has precluded systematic computational identification. Here we demonstrate that exosite prediction&#...

This study aimed to assess the potential for agricultural expansion into pasture areas with varying degrees of degradation in Brazil, providing both quantitative and spatial analyses at different scales – national, biome, microregion, and municipality. The proposed method was based on remote...

The genus Streptomyces is recognized as a source of secondary metabolites (SMs) with applications in medicine, industry, and agriculture. This study presents the description and characterization of a new Streptomyces species, isolated from sediments of the Madeira River in the Brazilian Amaz...

The Decision Support System for Agrotechnology Transfer (DSSAT) ecosystem is a combination suite of software created to facilitate the development and use of integrated crop, soil, weather, and management components and the datasets required for this development and applications. The DSSAT C...

Abstract - The aim of this study was to evaluate the impacts of updating the climate database used in the Agricultural Climate Risk Zoning (Zarc), comparing the periods 1984- 2013 and 1993-2022. The Mann-Kendall test was applied to the continuous period of 1984-2022 to assess&...

Abstract - Sensitivity analysis is a technique used to quantify which factors have the greatest influence on a model's output. A robust evaluation of a crop growth model requires that such analyses account for the factors that may affect the model's responses. Typically, th...

Resumo - O risco de produção para a agricultura de sequeiro é altamente dependente do clima. O fator que mais afeta a produtividade de grãos no Brasil é a falta de água em diferentes fases de desenvolvimento da planta, por isso avaliações dos componentes do balanço h...

This article presents the Knowledge Graph for Agricultural Prices (KGAP), which is a knowledge graph (KG) that integrates agricultural commodity prices data from three major Brazilian institutions: Cepea, Conab, and Ipea. The datasets, originally published in heterogeneous formats, were harmonized...

Sugarcane (Saccharum officinarum L.) is one of the largest crops in Brazil, and its productivity varies according to the environment and management practices adopted. In this study, tons of sugar per hectare (TSH) are estimated using a heteroscedastic gamma (GA) regression model, which&...