isvav_result

publication_year

occurrences__organization__code

solver__id__sc2

result_type__code

Type of result according to the RIV classification. Czech version is available <a href="https://www.vyzkum.cz/FrontClanek.aspx?idsekce=1395" target="_blank" >here</a>.

language__code

Jazyk výsledku udáva původní jazyk, ve kterém byl daný výsledek vytvořen. Kompletní seznam jazyků ve kterém je možno výsledek do RIV předložit je <a href="https://www.vyzkum.cz/FrontClanek.aspx?idsekce=1397" target="_blank" >zde</a>.

cep__code

ford__code

_group_id67

occurrences__funder__code

Data supplier is the R&D aid provider who supported this result.

project__programme__code

x_range_count_solvers

project__id

What are you looking for?

Quick search

Smart search

Filters

QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives

SMILES-based quantitative structure-retention relationships for RP HPLC of 1-phenyl-5-benzylsulfanyltetrazoles

QSAR of antimycobacterial activity of benzoxazoles by optimal SMILES-based descriptors

The Monte Carlo Method Based on Eclectic Data as an Efficient Tool for Predictions of Endpoints for Nanomaterials - Two Examples of Application

Development of the latest tools for building up "nano-QSAR": Quantitative features-property/activity relationships (QFPRs/QFARs)

Prediction of retention characteristics of heterocyclic compounds

SMILES-based quantitative structure-property relationships for half-wave potential of N-benzylsalicylthioamides

Improved building up a model of toxicity towards Pimephales promelas by the Monte Carlo method

Computational approach for building QSAR models for inhibition of HIF-1A

The prediction of the retention time of pesticide based on the Monte Carlo method with the use of the vector of the ideality of correlation and correlation weights of local symmetry fragments