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Accelerating Two Algorithms for Large-Scale Compound Selection on GPUs

https://doi.org/10.1021/ci200061p
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471224413openalex-snapshot
Reviews in Computational Chemistry
inferredcites →https://doi.org/10.1002/qsar.19950140602openalex-snapshot
A Fast Algorithm For Selecting Sets Of Dissimilar Molecules From Large Chemical Databases
inferredcites →https://doi.org/10.1007/s11030-006-8697-1openalex-snapshot
Molecular similarity and diversity in chemoinformatics: From theory to applications
inferredcites →https://doi.org/10.1016/j.cbpa.2008.02.015openalex-snapshot
New directions in library design and analysis
inferredcites →https://doi.org/10.1016/j.cbpa.2008.03.010openalex-snapshot
Dissimilarity-based approaches to compound acquisition
inferredcites →https://doi.org/10.1016/s1093-3263(98)00008-4openalex-snapshot
Comparison of algorithms for dissimilarity-based compound selection
inferredcites →https://doi.org/10.1016/s1367-5931(98)80013-6openalex-snapshot
Applications of genetic algorithms in molecular diversity
inferredcites →https://doi.org/10.1021/ci00002a022openalex-snapshot
Clustering a large number of compounds. 2. Using the connection machine
inferredcites →https://doi.org/10.1021/ci00002a023openalex-snapshot
Clustering a large number of compounds. 3. The limits of classification
inferredcites →https://doi.org/10.1021/ci00051a005openalex-snapshot
Implementation of nonhierarchic cluster analysis methods in chemical information systems: selection of compounds for biological testing and clustering of substructure search output
inferredcites →https://doi.org/10.1021/ci00062a004openalex-snapshot
Clustering a large number of compounds. 1. Establishing the method on an initial sample
inferredcites →https://doi.org/10.1021/ci0100649openalex-snapshot
New Diversity Calculations Algorithms Used for Compound Selection
inferredcites →https://doi.org/10.1021/ci0600859openalex-snapshot
A Fast Clustering Algorithm for Analyzing Highly Similar Compounds of Very Large Libraries
inferredcites →https://doi.org/10.1021/ci100011zopenalex-snapshot
SIML: A Fast SIMD Algorithm for Calculating LINGO Chemical Similarities on GPUs and CPUs
inferredcites →https://doi.org/10.1021/ci600382mopenalex-snapshot
Designing Compound Subsets: Comparison of Random and Rational Approaches Using Statistical Simulation
inferredcites →https://doi.org/10.1021/ci700023yopenalex-snapshot
A Scalable Approach to Combinatorial Library Design for Drug Discovery
inferredcites →https://doi.org/10.1021/ci8004644openalex-snapshot
Comparison of Nonbinary Similarity Coefficients for Similarity Searching, Clustering and Compound Selection
inferredcites →https://doi.org/10.1021/ci900337fopenalex-snapshot
GPU Accelerated Support Vector Machines for Mining High-Throughput Screening Data
inferredcites →https://doi.org/10.1021/ci9501047openalex-snapshot
Use of Structure−Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection
inferredcites →https://doi.org/10.1021/ci9702858openalex-snapshot
Experimental Designs for Selecting Molecules from Large Chemical Databases
inferredcites →https://doi.org/10.1021/ci980185hopenalex-snapshot
Comparing 3D Pharmacophore Triplets and 2D Fingerprints for Selecting Diverse Compound Subsets
inferredcites →https://doi.org/10.1021/jm960352+openalex-snapshot
Selecting Optimally Diverse Compounds from Structure Databases: A Validation Study of Two-Dimensional and Three-Dimensional Molecular Descriptors
inferredcites →https://doi.org/10.1023/a:1020837112154openalex-snapshot
Multiobjective optimization of combinatorial libraries
inferredcites →https://doi.org/10.1093/comjnl/16.1.30openalex-snapshot
SLINK: An optimally efficient algorithm for the single-link cluster method
inferredcites →https://doi.org/10.1109/t-c.1973.223640openalex-snapshot
Clustering Using a Similarity Measure Based on Shared Near Neighbors
inferredcites →https://doi.org/10.1145/1572769.1572795openalex-snapshot
Efficient stream compaction on wide SIMD many-core architectures
inferredcites →https://doi.org/10.1177/1087057105281365openalex-snapshot
Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up
inferredcites →https://doi.org/10.2174/156802606775193310openalex-snapshot
Diversity in Medicinal Chemistry Space
inferredcites →https://doi.org/10.2174/1570163043334965openalex-snapshot
Strategies for Compound Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Chemoinformatics applications of cluster analysis
inferred← citeshttps://doi.org/10.1016/j.bmc.2012.03.030openalex-snapshot
Chemoinformatics: A view of the field and current trends in method development
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c00679openalex-snapshot
Open-Source Approach to GPU-Accelerated Substructure Search
inferred← citeshttps://doi.org/10.1021/ci200235eopenalex-snapshot
Anatomy of High-Performance 2D Similarity Calculations
inferred← citeshttps://doi.org/10.1021/ci200348hopenalex-snapshot
Compression of Molecular Interaction Fields Using Wavelet Thumbnails: Application to Molecular Alignment
inferred← citeshttps://doi.org/10.1021/ci400263topenalex-snapshot
Accelerated Conformational Entropy Calculations Using Graphic Processing Units
inferred← citeshttps://doi.org/10.1111/cbdd.12054openalex-snapshot
The Future of Virtual Compound Screening
inferred← citeshttps://doi.org/10.11591/ijece.v13i3.pp3111-3123openalex-snapshot
Deep learning optimization for drug-target interaction prediction in COVID-19 using graphic processing unit
inferred← citeshttps://doi.org/10.1517/17460441.2014.941800openalex-snapshot
The cloud and other new computational methods to improve molecular modelling
inferred← citeshttps://doi.org/10.2533/chimia.2023.786openalex-snapshot
Trends in Medicinal Chemistry: KNIME Workflows, QSAR Models, LLMs and Chemical Search Strategies
inferred← citeshttps://doi.org/10.9790/0661-1464352openalex-snapshot
Enhance similarity searching algorithm with optimized fast population count method based on parallel design
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