| scholarly article | Q13442814 |
| P50 | author | Yovani Marrero-Ponce | Q39382967 |
| P2093 | author name string | César R García-Jacas | |
| Carlos A Brizuela | |||
| Edgar Chavez | |||
| Jesus A Beltran | |||
| Hugo A Guillen-Ramirez | |||
| Longendri Aguilera-Mendoza | |||
| P2860 | cites work | A Mathematical Theory of Communication | Q724029 |
| Analysis of weighted networks. | Q51982172 | ||
| In Silico Tools and Databases for Designing Peptide-Based Vaccine and Drugs. | Q52572530 | ||
| Molecular similarity in medicinal chemistry. | Q54708065 | ||
| Graph drawing by force-directed placement | Q55954181 | ||
| Generalized procrustes analysis | Q56570830 | ||
| A sharper Bonferroni procedure for multiple tests of significance | Q56622251 | ||
| A novel variable reduction method adapted from space-filling designs | Q56978797 | ||
| Molecular Descriptors for Chemoinformatics | Q56978888 | ||
| Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach | Q57151152 | ||
| Axioms for Centrality | Q57309473 | ||
| Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs) | Q58558662 | ||
| Theory of capacities | Q59406345 | ||
| BioJava 5: A community driven open-source bioinformatics library | Q64116706 | ||
| A Comprehensive Review on Current Advances in Peptide Drug Development and Design. | Q64993130 | ||
| Chemical space and biology | Q81153866 | ||
| Correlation Coefficients: Appropriate Use and Interpretation | Q87882653 | ||
| Recent Advances and Computational Approaches in Peptide Drug Discovery | Q90211171 | ||
| GOWAWA Aggregation Operator-based Global Molecular Characterizations: Weighting Atom/bond Contributions (LOVIs/LOEIs) According to their Influence in the Molecular Encoding | Q90708085 | ||
| Toward computer-made artificial antibiotics | Q91976855 | ||
| Computational Design of Biologically Active Anticancer Peptides and Their Interactions with Heterogeneous POPC/POPS Lipid Membranes | Q92274699 | ||
| Graph-based data integration from bioactive peptide databases of pharmaceutical interest: toward an organized collection enabling visual network analysis | Q93153834 | ||
| Modularity and community structure in networks | Q24548534 | ||
| A Comparative Analysis of Community Detection Algorithms on Artificial Networks | Q26779592 | ||
| Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review | Q27008867 | ||
| Identification of common molecular subsequences | Q27860816 | ||
| Community detection in networks: A user guide | Q28111918 | ||
| Navigating chemical space for biology and medicine | Q28298611 | ||
| Interactive machine learning for health informatics: when do we need the human-in-the-loop? | Q28602093 | ||
| Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions | Q28654387 | ||
| Fast unfolding of communities in large networks | Q29305711 | ||
| Amino acid difference formula to help explain protein evolution | Q29614440 | ||
| Exploring chemical space for drug discovery using the chemical universe database | Q30485721 | ||
| Design and characterization of chemical space networks for different compound data sets | Q30873834 | ||
| Variability of molecular descriptors in compound databases revealed by Shannon entropy calculations | Q30878467 | ||
| Finding key members in compound libraries by analyzing networks of molecules assembled by structural similarity | Q33514030 | ||
| Inhibition of Escherichia coli ATP synthase by amphibian antimicrobial peptides | Q33712627 | ||
| Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy | Q34445269 | ||
| ProtDCal: A program to compute general-purpose-numerical descriptors for sequences and 3D-structures of proteins | Q34476736 | ||
| MosaicFinder: identification of fused gene families in sequence similarity networks | Q34568096 | ||
| ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. | Q35184651 | ||
| IMMAN: free software for information theory-based chemometric analysis | Q35549047 | ||
| Progress in visual representations of chemical space. | Q35669755 | ||
| The chemistry and biological activities of peptides from amphibian skin secretions | Q38320713 | ||
| The Current State of Peptide Drug Discovery: Back to the Future? | Q38652744 | ||
| Therapeutic peptides: Historical perspectives, current development trends, and future directions | Q38655677 | ||
| Principal component analysis: a review and recent developments | Q38764960 | ||
| Chemical space visualization: transforming multidimensional chemical spaces into similarity-based molecular networks | Q38826792 | ||
| Lessons learned from the design of chemical space networks and opportunities for new applications | Q38899445 | ||
| The rational design of amino acid sequences by artificial neural networks and simulated molecular evolution: de novo design of an idealized leader peptidase cleavage site | Q39454274 | ||
| Peptides with antimicrobial and anti-inflammatory activities that have therapeutic potential for treatment of acne vulgaris | Q40023939 | ||
| The ascaphins: a family of antimicrobial peptides from the skin secretions of the most primitive extant frog, Ascaphus truei. | Q44787161 | ||
| Activities of the frog skin peptide, ascaphin-8 and its lysine-substituted analogs against clinical isolates of extended-spectrum beta-lactamase (ESBL) producing bacteria | Q46858701 | ||
| CompositeSearch: A Generalized Network Approach for Composite Gene Families Detection | Q47577682 | ||
| iFeature: a python package and web server for features extraction and selection from protein and peptide sequences. | Q50419865 | ||
| Chemical space networks: a powerful new paradigm for the description of chemical space. | Q51079623 | ||
| P433 | issue | 1 | |
| P921 | main subject | unsupervised learning | Q1152135 |
| P304 | page(s) | 18074 | |
| P577 | publication date | 2020-10-22 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach | |
| P478 | volume | 10 |
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