Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

Mendelian Inheritance in Man: A Catalog of Human Genes and Genetic Disorders

McKusick, V. A. (1998) · DigitalGeorgetown (Georgetown University Library) · Cited by 681

Efficacy of active ingredients in Qingdai on ulcerative colitis: a network pharmacology-based evaluation.

Yue, L. I., Shuting, W., Runyuan, Z., Dongmei, F., Zhao, D., Fengbin, L., & Hong, M. I. (2023) · PubMed Central · doi:10.19852/j.cnki.jtcm.2023.01.011 · Cited by 5

Heterospecific SNP diversity in humans and rhesus macaque ( M acaca mulatta)

Ng, J., Trask, J. S., Smith, D. G., & Kanthaswamy, S. (2015) · Journal of Medical Primatology · doi:10.1111/jmp.12174 · Cited by 5

Methods for Polygenic Traits

Pazoki, R. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7868-7_10 · Cited by 4

Inferring Protein Function from Homology Using the Princeton Protein Orthology Database (P‐POD)

Livstone, M. S., Oughtred, R., Heinicke, S., Vernot, B., Huttenhower, C., Durand, D., & Dolinski, K. J. (2011) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0611s33 · Cited by 5

Bioinformatics: Databasing and Gene Annotation

Burgoon, L. D., & Zacharewski, T. R. (2008) · Methods in molecular biology · doi:10.1007/978-1-60327-048-9_7 · Cited by 5

XomatiQ: living with genomes, proteomes, relations and a little bit of XML

Bhowmick, S. S., Cruz, P., & Laud, A. V. (2005) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2003.1260885 · Cited by 5

Analyzing the Multi-target Pharmacological Mechanism of Folium Artemisiae Argyi Acting on Breast Cancer: A Network Pharmacology ApproachPreprint

Wang, J., Wang, X., Zhang, H., Lu, M., Niu, X., Yin, L., Wang, Y., Gu, Y., Li, D., Ji, H., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-127242/v1 · Cited by 5

Computational Biology

Lengauer, T., Albrecht, M., & Domingues, F. S. (2012) · Wiley-VCH eBooks · doi:10.1002/3527600906.mcb.200400023.pub2 · Cited by 5

Network‐based Methods in Drug Discovery

Parmar, G. R., Shah, A., Chudasama, J. M., Kashav, P., & James, V. (2024) · doi:10.1002/9781394249190.ch12 · Cited by 5

Big Data Application in Herbal Medicine: The Need for a Consolidated Database

Aruwa, C. E., & Sabiu, S. (2024) · Reference series in phytochemistry · doi:10.1007/978-3-031-43199-9_53 · Cited by 4

Honokiol in the treatment of triple-negative breast cancer: a network pharmacology approach and experimental validation

Chen, J., Zhang, H., Qiu, M., Hu, J., Lu, L., Mai, L., Huang, G., Chen, X., Li, X., Qin, X., et al. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152008 · Cited by 4

Ellagic acid mediated pyroptosis in hepatocellular carcinoma via the ESR1/G6PD pathway

Wang, S., Cai, Y., Zhou, F., Zhang, M., Li, J., Shang, L., Huang, J., Chen, L., & Yang, S. (2025) · Biochemical Pharmacology · doi:10.1016/j.bcp.2025.117178 · Cited by 6

Verapamil ameliorates proximal tubular epithelial cells apoptosis and fibrosis in diabetic kidney

Song, Y., Guo, F., Zhao, Y., Zhao, L., Fan, X., Zhang, Y., Liu, Y., & Qin, G. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174552 · Cited by 4

FAVOR 2.0: A reengineered functional annotation of variants online resource for interpreting genomic variation

Zhou, H., Verma, V., Li, X., Li, Z., Shedd, N., Li, T. C., Yang, H., Zhang, A., Borsari, B., Buyske, S. G., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1217 · Cited by 4

Novel compound heterozygous variants (c.971delA/c.542C > T) in SLC1A4 causes spastic tetraplegia, thin corpus callosum, and progressive microcephaly: a case report and mutational analysis

Mohamed, F. E., Ghattas, M. A., Almansoori, T. M., Tabouni, M., Baydoun, I., Kizhakkedath, P., John, A., Alblooshi, H., Shaukat, Q., & Al-Jasmi, F. A. (2023) · Frontiers in Pediatrics · doi:10.3389/fped.2023.1183574 · Cited by 4

Mechanism of network pharmacology of Erzhi Pill and Erxian Decoction in treating climacteric syndrome with “treating the same disease with different methods”: A review

Chen, L., Zhu, G., & Xie, J.-P. (2024) · Medicine · doi:10.1097/md.0000000000038440 · Cited by 4

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set

Hong, J., Hou, W., Sheng, N., Zuo, C., & Wang, Y. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125435 · Cited by 4

Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylation

Kim, S., Zhang, L., Qin, Y., Bohn, R. I. C., & Park, H. J. (2025) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2025.103236 · Cited by 4

aGEM: an integrative system for analyzing spatial-temporal gene-expression information

Jiménez-Lozano, N., Segura, J., Macías, J. R., Vega, J., & Carazo, J. M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp422 · Cited by 4

Scaffold-based analysis of nonpeptide oncogenic FTase inhibitors using multiple similarity matching, binding affinity scoring and enzyme inhibition assay

Wang, Q., Chen, F., Liu, P., Mu, Y., Sun, S., Yuan, X., Shang, P., & Ji, B. (2021) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2021.107898 · Cited by 4

A comprehensive genomic reporting structure for communicating all clinically significant primary and secondary findings

Sam, J., Reble, E., Kodida, R., Shaw, A., Clausen, M., Salazar, M., Shickh, S., Mighton, C. E., Carroll, J. C., Armel, S. R., et al. (2022) · Human Genetics · doi:10.1007/s00439-022-02466-5 · Cited by 6

In silico analysis and preclinical findings uncover potential targets of anti-cervical carcinoma and COVID-19 in laminarin, a promising nutraceutical

Liu, J., Chen, Y., Nie, L., Xiao, L., Huang, W., & Li, R. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.955482 · Cited by 4

A Case Study on PPM1D and 9 Other Shared Germline Alterations in a Family

Biswas, S., Manekar, S. C., & Bakshi, S. R. (2023) · Asian Pacific Journal of Cancer Prevention · doi:10.31557/apjcp.2023.24.6.2129 · Cited by 4

Genetic interactions between the hedgehog co-receptorsGas1andBocregulate cell proliferation during murine palatogenesis

Xavier, G. M., Seppala, M., Papageorgiou, S. N., Fan, C., & Cobourne, M. T. (2016) · Oncotarget · doi:10.18632/oncotarget.13011 · Cited by 4

DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways and protein complexes from CRISPR screens

Canver, M. C., Bauer, D. E., Maeda, T., & Pinello, L. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty913 · Cited by 4

A Study on Prevalence and Distribution Of Tooth Agenesis

Kumar, S. (2020) · International Journal of Dentistry and Oral Science · doi:10.19070/2377-8075-20000220 · Cited by 4

Evaluating diabetes and hypertension disease causality using mouse phenotypes

Yu, H. J., Huang, J., Qiao, N., Green, C. D., & Han, J. J. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-97 · Cited by 4

Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage

Zhu, J., Sanborn, Z., Diekhans, M., Lowe, C. B., Pringle, T., & Haussler, D. H. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030247.eor · Cited by 4

BioDataServer: an Applied Molecular Biological Data Integration Service

Balko, S., Lange, M., Schnee, R., & Scholz, U. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24745-6_10 · Cited by 4

StrokeBase: A Database of Cerebrovascular Disease-related Candidate Genes

Kim, Y., Kim, I.-H., Bang, O., & Kim, Y. (2008) · Genomics & Informatics · doi:10.5808/gi.2008.6.3.153 · Cited by 4

Computational approaches for disease gene identification

Yang, P. (2014) · doi:10.32657/10356/59238 · Cited by 4

Correction: Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data

Wang, Y., Chen, S., Deng, N.-Y., & Wang, Y. (2013) · PLoS ONE · doi:10.1371/annotation/fe02e998-6a38-4fd7-9df6-241bc4d0f267 · Cited by 4

Development of a genetic priority score to predict drug side effects using human genetic evidence

Duffy, Á., Chen, R. K., Stein, D. F., Park, J. K., Mort, M. E., Verbanck, M., Schlessinger, A., Itan, Y., Cooper, D. N., Jordan, D. M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63762-y · Cited by 3

Gene List Selection Matters: Missed Diagnoses in Prenatal Exome Sequencing—PanelApp R21 and HPO‐Driven Versus OMIM‐Based Gene Lists

Ardiles‐Ruesjas, V., Rodríguez‐Revenga, L., Pauta, M., Nadal, A., Arca, G., Gort, L., Sinisterra‐Díaz, S. E., & BORRELL, A. (2026) · Prenatal Diagnosis · doi:10.1002/pd.70066 · Cited by 3

Redefining the Game: MVAE-DFDPnet's Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions

Xia, L.-Y., Wu, Y. X., Zhao, L., Chen, L., Zhang, S., Wang, M., & Luo, J. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3384696 · Cited by 3

A Domain Ontology for Gait Analysis and Decision Support on Gait-Related Diseases

Marthinus, T., & Daramola, O. (2024) · IEEE Access · doi:10.1109/access.2024.3437207 · Cited by 3

A Controllability Reinforcement Learning Method for Pancreatic Cancer Biomarker Identification

Wang, Y., Hong, J., Lu, Y., Sheng, N., Fu, Y., Yang, L., Meng, L., Huang, L., & Wang, H. (2024) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2024.3441689 · Cited by 3

High Potential Negative Sampling for Drug Disease Association Prediction

Le, M. H., Anh, D. N., & Dang, X. T. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-63929-6_7 · Cited by 3

Assessing network characteristics of cancer associated genes in metabolic and signaling networks

Petrochilos, D., & Abernethy, N. F. (2012) · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) · doi:10.1109/cibcb.2012.6217243 · Cited by 3

Integrated querying of disparate association and interaction data in biomedical applications

Qiao, S., Koyutürk, M., & Ozsoyoglu, Z. M. (2015) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/2808719.2808734 · Cited by 3

Inferring Novel Indications of Approved Drugs via a Learning Method with Local and Global Consistency

Yan, Y., Shao, X., & Jiang, Z. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107100 · Cited by 3

The impact of near domain transfer on biomedical named entity recognition

Collier, N., Tran, M.-V., & Paster, F. (2014) · International Workshop on Health Text Mining and Information Analysis (LOUHI) · doi:10.3115/v1/w14-1103 · Cited by 3

Ulcerative Colitis Database

Shen, J., Mao, A., Zhu, M., Zhao, P., Xu, J., & Zuo, Z. (2015) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000411 · Cited by 3

Identification of cancer-related module in protein–protein interaction network based on gene prioritization

Wu, J., Zhang, Q., & Li, G. (2021) · Journal of Bioinformatics and Computational Biology · doi:10.1142/s0219720021500311 · Cited by 3

Question 7 How would an investigator easily find compiled information describing the structure of a gene of interest? Is it possible to obtain the sequence of any putative promoter regions?

(2003) · Nature Genetics · doi:10.1038/ng1195 · Cited by 3

The Wu-Shi-Cha formula protects against ulcerative colitis by orchestrating immunity and microbiota homeostasis

Yu, W., Jiang, Z., Zhang, Z., Jiang, L., Liu, C., Lu, C., Liang, Z., Wang, G., & Yan, J. (2022) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2022.116075 · Cited by 3

MCAM: A Database to Accelerate the Identification of Functional Cell Adhesion Molecules

Sadanandam, A., Pal, S. N., Ziskovsky, J., Hegde, P., & Singh, R. K. (2008) · Cancer Informatics · doi:10.4137/cin.s341 · Cited by 3

Identifying gene-disease associations using word proximity and similarity of Gene Ontology terms

Hou, W.-J., Chen, L.-C., & Lu, C.-S. (2011) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2011.6098702 · Cited by 3

Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes

Guérin, É., Marquet, G., Chabalier, J., Troadec, M., Guguen‐Guillouzo, C., Loréal, O., Burgun, A., & Moussouni, F. (2006) · Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics · doi:10.1515/jib-2006-35 · Cited by 3

Hedgehog Signaling Pathway Database: a repository of current annotation efforts and resources for the Hh research community

Hervold, K., Martin, A., Kirkpatrick, R. A., Kenna, P. F. M., & Ramı́rez-Weber, F.-A. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl1012 · Cited by 3

Mapping protein information to disease terminologies

Mottaz, A., Yip, Y. L., Ruch, P., & Veuthey, A. (2007) · Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics · doi:10.1515/jib-2007-79 · Cited by 3

Data Mining in MEDLINE for Disease-Disease Associations Via Second Order Co-Occurrence

von Korff, M., Deffarges, B., & Sander, T. (2015) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2015.54 · Cited by 3

Mechanism-based disease similarity

Yu, Y. (2016) · Journal of Rare Diseases Research & Treatment · doi:10.29245/2572-9411/2016/3.1044 · Cited by 3

Gene Name Service: No-Nonsense Alias Resolution Service for Homo Sapiens Genes

Lin, K., Liu, C.-H., Chiou, J.-J., Tseng, W.-H., Lin, K.-L., & Hsu, C. (2007) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iatw.2007.30 · Cited by 3

A comparison of computational approaches for intron retention detection

Zheng, J., Lin, C., Wu, Z., & Li, H. (2022) · Big Data Mining and Analytics · doi:10.26599/bdma.2021.9020014 · Cited by 3

Nonsyndromic seizure disorders: epilepsy and the use of the internet to advance research.

Leppert, M., & Singh, N. A. (2003) · Annual review of genomics and human genetics (Print) · doi:10.1146/annurev.genom.4.071902.102155 · Cited by 2

Flexible web-based integration of distributed large-scale human protein interaction maps

Chaurasia, G., Iqbal, Y. W., Hänig, C., Herzel, H., Wanker, E. E., & Futschik, M. E. (2007) · Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics · doi:10.1515/jib-2007-51 · Cited by 3

Elucidating the anti-cancer mechanisms for transition-state structure inhibitors of nucleoside phosphorylases methylthioadenosine-DADMe-immucillin A and forodesine

Coorey, N. (2017) · doi:10.26686/wgtn.17067545.v1 · Cited by 2

Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation AnalysisPreprint

Maleki, F., & Kusalik, A. J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/319145 · Cited by 3

Disruption of the TFAP2A Regulatory Domain Causes Banchio-Oculo-Facial Syndrome (BOFS) and Illuminates Pathomechanisms for Other Human NeurocristopathiesPreprint

Laugsch, M., Bartusel, M., Alirzayeva, H., Karaolidou, A., Rehimi, R., Crispatzu, G., Nikolić, M., Bleckwehl, T., Kolovos, P., van IJcken, W. F. J., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3155617 · Cited by 3

Digital health research governance: from FAIR to RE-AIM

Bernardi, F. A. (2024) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.82.2024.tde-05072024-092611 · Cited by 4

Exploring the Mechanism of Zhishi-Xiebai-Guizhi Decoction for the Treatment of Hypoxic Pulmonary Hypertension based on Network Pharmacology and Experimental Analyses

Huang, P., Wang, Y., Liu, C., Zhang, Q., Ma, Y., Liu, H., Wang, X., Wang, Y., Wei, M., & Ma, L. (2024) · Current Pharmaceutical Design · doi:10.2174/0113816128293601240523063527 · Cited by 2

Integrated network toxicology and molecular simulations uncover the molecular mechanism and core targets of DNBaP-induced lung cancer

He, P., Lu, Z., zhao, Y., Li, T., & Chen, J. (2025) · Discover Oncology · doi:10.1007/s12672-025-04053-2 · Cited by 2

German Chamomile-Derived Extracellular Vesicles for the Transdermal Delivery of Glabridin: A Combined Strategy against UVA-Induced Pigmentation

Qin, H., Wang, S., Peng, M., Zu, Y., Zhang, M., & Liu, K. (2026) · ACS Applied Nano Materials · doi:10.1021/acsanm.6c00026 · Cited by 2

Lateral Soft Palate Growth Deficiency: Case Report and Therapeutic Management

Dongyuan, L., Chen, Y., Li, F., & Hao, J. (2015) · The Cleft Palate-Craniofacial Journal · doi:10.1597/15-052 · Cited by 2

Biomedical Literature Mining

Zhang, C., & Zhang, M. Q. (2008) · Springer eBooks · doi:10.1007/978-0-387-84870-9_10 · Cited by 2

GARLIC: a bioinformatic toolkit for aetiologically connecting diseases and cell type-specific regulatory maps

Nikolić, M., Papantonis, A., & Rada-Iglesias, Á. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw423 · Cited by 2

Question 5 Given a fragment of mRNA sequence, how would one find where that piece of DNA mapped in the human genome? Once its position has been determined, how would one find alternatively-spliced transcripts?

(2003) · Nature Genetics · doi:10.1038/ng1193 · Cited by 2

Molecular mechanisms and biomarkers underlying the protective roles of the nutraceutical laminarin against ischaemic strokes

Luo, J., Lan, Y., Pan, W., Lai, K. P., & Kong, D. (2023) · Food and Agricultural Immunology · doi:10.1080/09540105.2023.2249265 · Cited by 2

Expanding the clinical spectrum of cytosolic phosphoenolpyruvate carboxykinase deficiency: novel PCK1 variants in four Arabian Gulf families

Busaidi, M. A., Mohamed, F. E., Al‐Ajmi, E., Hashmi, N. A., Al‐Thihli, K., Al-Futaisi, A. M., Al-Mamari, W. S., Al-Murshedi, F. M., & Al-Jasmi, F. A. (2023) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-023-02946-5 · Cited by 2

The distribution of near point of convergence, near point of accommodation and their association with interpupillary distance in young adults- A cross sectional study

Bandhu, S. D., Pawar, S. A., Garg, S., Yukta, & Rahman, M. H. U. (2023) · IP International Journal of Ocular Oncology and Oculoplasty · doi:10.18231/j.ijooo.2023.027 · Cited by 1

Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics

Saadat, A., & Fellay, J. (2025) · iScience · doi:10.1016/j.isci.2025.112812 · Cited by 2

Network pharmacology and molecular docking study on the potential mechanism of Tongqiao–Biyan granule in treatment of allergic rhinitis

Song, Z., Yang, Y., Zhai, Z., Zhang, Y., & Song, X. (2024) · Eye & ENT Research · doi:10.1002/eer3.20 · Cited by 2

A survey on computational methods used for drug repositioning

Abushaaban, E., & Alhajj, R. (2025) · Network Modeling Analysis in Health Informatics and Bioinformatics · doi:10.1007/s13721-025-00502-8 · Cited by 3

Protein-Protein Interactions and Disease

Rao, A., Bulusu, G., Srinivasan, R., & Joseph, T. (2012) · InTech eBooks · doi:10.5772/38299 · Cited by 2

Functional Interpretation of Omics Data by Profiling Genes and Diseases Using MeSH–Controlled Vocabulary

Nakazato, T., Bono, H. U., & Takagi, T. (2011) · InTech eBooks · doi:10.5772/18805 · Cited by 2

Combining Protein-Protein Interaction (PPI) Network and Sequence Attributes for Predicting Hypertension Related Proteins

Dobson, R., Munroe, P. B., Mein, C. A., Caulfield, M. J., & Saqi, M. A. S. (2008) · Communications in computer and information science · doi:10.1007/978-3-540-70600-7_28 · Cited by 2

Síndrome del nevo basocelular (síndrome de Gorlin-Goltz)

Borges, V. M., Amorrich, M. V., & Puig, S. (2009) · Piel · doi:10.1016/s0213-9251(09)73037-0 · Cited by 2

Construction of gene/protein interaction networks for primary myelofibrosis and KEGG pathway-enrichment analysis of molecular compounds

Sun, C., Cao, X., Zhou, C., Liu, L. J., Feng, F., Liu, R.-R., Zhuang, J., & Li, Y. J. (2015) · Genetics and Molecular Research · doi:10.4238/2015.december.8.1 · Cited by 2

Bioinformatics

Lengauer, T., & Hartmann, C. J. (2007) · Elsevier eBooks · doi:10.1016/b0-08-045044-x/00088-2 · Cited by 3

Computational Approaches and Pharmacogenomics Data Resources for Drug Repositioning

Li, F. (2017) · Medical Research Archives · doi:10.18103/mra.v5i6.1225 · Cited by 2

Online library database from national center for information on biotechnology (NCBI) regarding Ganoderma boninense

Hayati, R., Basyuni, M., Chalil, D., & Bimantara, Y. (2019) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/260/1/012148 · Cited by 2

Adaptive Weighted Morphology Detection Algorithm of Plane Object in Docking Guidance System

Yan-ying, G., Yang, G., & Li-Hui, J. (2010) · InTech eBooks · doi:10.5772/8606 · Cited by 2

Insight Into Biological Targets and Molecular Mechanisms in the Treatment of Arsenic-Related Dermatitis With Vitamin A via Integrated in silico Approach

Qin, Q., Qin, L., Xie, R., Peng, S., Guo, C., & Yang, B. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.847320 · Cited by 2

The intercropping soybean searches in The National Center for Biotechnology Information (NCBI)

Wagino, Hanum, C., & Rahmanta, R. (2022) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/977/1/012045 · Cited by 2

A data and text mining pipeline to annotate human mitochondrial variants with functional and clinical information

Vitale, O., Preste, R., Palmisano, D., & Attimonelli, M. (2019) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.1085 · Cited by 2

Bioinformatics Approaches for Analysis of Protein–Ligand Interactions

Andrabi, M., Nagao, C., Mizuguchi, K., & Ahmad, S. (2009) · Wiley eBooks · doi:10.1002/9780470567623.ch9 · Cited by 2

Dominating Biological Networks

Bonato, A., Milenković, T., Pržulj, N., & Memišević, V. (2021) · doi:10.32920/14668818 · Cited by 2

Commentary: keeping biology in mind

(2003) · Nature Genetics · doi:10.1038/ng1202 · Cited by 2

FAIRsharing record for: Brazilian Rare Disease Portal

FAIRsharing Team, Bernardi, F. A., Bernardi, F. A., Filho, M. E. C., & Yamada, D. B. (2023) · FAIRsharing.org · doi:10.25504/fairsharing.d7b6c8 · Cited by 2

Identification of structurally important amino acids in proteins by graph-theoretic measures

Cheng, T. M. K., Lu, Y.-E., & Lió, P. (2009) · doi:10.1145/1562090.1562092 · Cited by 1

Can 9q34.2 rs633862 polymorphism predict survival in epithelial ovarian cancer?

Jiang, R., Xu, Y., Wang, P., Cheng, X., Shi, T., & Zang, R. (2017) · PeerJ · doi:10.7717/peerj.3946 · Cited by 1

Trailblazing Contemporary Frameworks for Drug Repurposing: A Saga on Drugs’ Expedition to Disinter the Veiled Destiny

Satish, K. S., Saraswathy, G. R., Hemasree, G. N. S., Saravanan, K. S., Marise, V. L. P., Murthy, M. K., & Murahari, M. (2023) · Springer eBooks · doi:10.1007/978-981-19-7952-1_9 · Cited by 1

Antidepressant Properties of a Four-compound Cocktail Identified from Si-Ni-San by HIF-1 Pathway Modulation

An, N., Zhang, D., Xin, J., Zhang, X., Zhang, Z., Ma, L., Zhao, L., Wu, H., Feng, W., & Zheng, X. (2024) · Current Computer - Aided Drug Design · doi:10.2174/0115734099305381240613114436 · Cited by 1

GMMID: genetically modified mice information database

Xu, M., Fang, M., Chen, Q., Xiao, W., Xu, Z., Cai, B., Zhao, Z., Wang, T., Zhu, Z., Chen, Y., et al. (2024) · Database · doi:10.1093/database/baae078 · Cited by 1

Exploring the Effect of Gomisin A on Non‐Small Cell Lung Cancer With Network Pharmacology, Molecular Docking, In Vitro and In Vivo Assays

Liu, M., Yang, K. G., & Qiu, H. (2024) · Chemical Biology & Drug Design · doi:10.1111/cbdd.70014 · Cited by 1

Computer‐Aided Diagnosis of Genodermatoses

Aksungur, V. L., Maraklı, S. S., Akman, A., & Homan, S. (2004) · The Journal of Dermatology · doi:10.1111/j.1346-8138.2004.tb00513.x · Cited by 1

RiDs db: Repeats in diseases database

Chaturvedi, A., Tiwari, S., & Jesudasan, R. A. (2011) · Bioinformation · doi:10.6026/97320630007096 · Cited by 1

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