The Proceedings of the National Academy of Sciences

The translational landscape of HIV-1 infected cells reveals key gene regulatory principles

Kibe, A., Buck, S., Gribling-Burrer, A.-S., Gilmer, O., Bohn, P., Koch, T., Mireisz, C. N.-M., Schlosser, A., Erhard, F., Smyth, R. P., et al. (2025) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01468-3 · Cited by 19

Surrogate Based Genetic Algorithm Method for Efficient Identification of Low-Energy Peptide Structures

Villard, J., Kılıç, M., & Rothlisberger, U. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c01078 · Cited by 19

Short-Wavelength and Near-Infrared Autofluorescence in Patients with Deficiencies of the Visual Cycle and Phototransduction

Oh, J. K., Lima de Carvalho, J. R., Ryu, J., Tsang, S. H., & Sparrow, J. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-65763-x · Cited by 18

The association between second to fourth digit ratio, reproductive and general health among women: findings from an Israeli pregnancy cohort

Tabachnik, M., Sheiner, E., & Wainstock, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-62599-3 · Cited by 18

Phosphate-solubilizing characteristics of yeasts

Kuo, C. (2018) · Mycosphere · doi:10.5943/mycosphere/9/6/4 · Cited by 18

Coupling quantum-like cognition with the neuronal networks within generalized probability theory

Khrennikov, A., Ozawa, M., Benninger, F., & Shor, O. (2025) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2025.102923 · Cited by 17

Milk Protein Adsorption on Metallic Iron Surfaces

(2023) · doi:10.3390/nano13121857 · Cited by 17

Intron size minimisation in teleosts

Jakt, L. M., Dubin, A., & Johansen, S. D. (2022) · BMC Genomics · doi:10.1186/s12864-022-08760-w · Cited by 17

Phase II Trial of Brentuximab Vedotin in Relapsed/Refractory Germ Cell Tumors

Ashkar, R., Feldman, D. R., Adra, N., Zaid, M. A., Funt, S. A., Althouse, S. K., Perkins, S. M., Snow, C. I., Lazzara, K. M., Sego, L. M., et al. (2021) · Investigational New Drugs · doi:10.1007/s10637-021-01134-1 · Cited by 16

Combined Physics- and Machine-Learning-Based Method to Identify Druggable Binding Sites Using SILCS-Hotspots

Nordquist, E. B., Zhao, M., Kumar, A., & MacKerell, A. D. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c01189 · Cited by 15

FEP Protocol Builder: Optimization of Free Energy Perturbation Protocols Using Active Learning

de Oliveira, C., Leswing, K., Feng, S., Kanters, R., Abel, R., & Bhat, S. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00681 · Cited by 15

Prediction of Enzyme Catalysis by Computing Reaction Energy Barriers via Steered QM/MM Molecular Dynamics Simulations and Machine Learning

Platero-Rochart, D., Krivobokova, T., Gastegger, M., Reibnegger, G., & Sánchez-Murcia, P. A. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00772 · Cited by 15

GASP: A Pan-Specific Predictor of Family 1 Glycosyltransferase Acceptor Specificity Enabled by a Pipeline for Substrate Feature Generation and Large-Scale Experimental Screening

Harding-Larsen, D., Madsen, C. D., Teze, D., Kittilä, T., Langhorn, M. R., Gharabli, H., Hobusch, M., Otalvaro, F. M., Kırtel, O., Bidart, G. N., et al. (2024) · ACS Omega · doi:10.1021/acsomega.4c01583 · Cited by 14

Analysis of CD74 Occurrence in Oncogenic Fusion Proteins

(2023) · doi:10.3390/ijms242115981 · Cited by 14

Catalytic specificity and crystal structure of cystathionine γ-lyase from Pseudomonas aeruginosa

(2024) · doi:10.1038/s41598-024-57625-7 · Cited by 14

The fundamental tension in integrated information theory 4.0’s realist idealism

Cea, I., Negro, N., & Signorelli, C. M. (2023) · Entropy · doi:10.3390/e25101453 · Cited by 13

Sex modulation of faces prediction error in the autistic brain

Lacroix, A., Harquel, S., Mermillod, M., Garrido, M., Barbosa, L., Vercueil, L., Aleysson, D., Dutheil, F., Kovarski, K., & Gomot, M. (2024) · Communications Biology · doi:10.1038/s42003-024-05807-4 · Cited by 12

Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity

Qorri, B., Tsay, M., Agrawal, A., Au, R., & Gracie, J. (2020) · Exploration of Medicine · doi:10.37349/emed.2020.00026 · Cited by 13

Human neuraminidases have reduced activity towards modified sialic acids on glycoproteins

Hunter, C. D., Porter, E. M., & Cairo, C. W. (2020) · Carbohydrate Research · doi:10.1016/j.carres.2020.108139 · Cited by 13

“Dividing and Conquering” and “Caching” in Molecular Modeling

Cao, X., & Tian, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22095053 · Cited by 10

The Role of Agentic Artificial Intelligence in Healthcare: A Systematic Review

Collaco, B. G., Haider, S. A., Prabha, S., Gomez-Cabello, C. A., Genovese, A., Wood, N. G., Bagaria, S. P., Gopala, N., Tao, C., & Forte, A. J. (2025) · doi:10.21203/rs.3.rs-7234499/v1 · Cited by 68

Integrating Phenotypic and Chemoproteomic Approaches to Identify Covalent Targets of Dietary Electrophiles in Platelets

(2024) · doi:10.1021/acscentsci.3c00822 · Cited by 9

Dynamic changes in mRNA nucleocytoplasmic localization in the nitrate response of Arabidopsis roots

(2024) · doi:10.1111/pce.15018 · Cited by 9

An artificial neural network model to predict structure-based protein–protein free energy of binding from Rosetta-calculated properties

Ferraz, M. V. F., Neto, J. C. S., Lins, R. D., & Teixeira, E. S. (2023) · Physical Chemistry Chemical Physics · doi:10.1039/d2cp05644e · Cited by 9

Generating Meaning: Active Inference and the Scope and Limits of Passive AI

Pezzulo, G., Parr, T., Cisek, P., Clark, A., & Friston, K. (2023) · doi:10.31234/osf.io/8xgzv · Cited by 8

Individual gaze shapes diverging neural representations

Borovska, P., & de Haas, B. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405602121 · Cited by 11

Conformational landscapes of rigid and flexible molecules explored with variable temperature ion mobility-mass spectrometry

Wang, X., Norgate, E., Dai, J., Benoit, F., Bristow, T., England, R. M., Kalapothakis, J. M. D., & Barran, P. E. (2025) · Nature Communications · doi:10.1038/s41467-025-59065-x · Cited by 7

Differential Selection for Translation Efficiency Shapes Translation Machineries in Bacterial Species

Farookhi, H., & Xia, X. (2024) · Microorganisms · doi:10.3390/microorganisms12040768 · Cited by 7

Improving AlphaFold Predicted Contacts for Alpha-Helical Transmembrane Proteins Using Structural Features

Sawhney, A., Li, J., & Liao, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25105247 · Cited by 6

Tidying up the conformational ensemble of a disordered peptide by computational prediction of spectroscopic fingerprints

Michaelis, M., Cupellini, L., Mensch, C., Perry, C. C., Delle Piane, M., & Colombi Ciacchi, L. (2023) · Chemical Science · doi:10.1039/d3sc02202a · Cited by 6

StackDPP: a stacking ensemble based DNA-binding protein prediction model

Ahmed, S. H., Bose, D. B., Khandoker, R., & Rahman, M. S. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05714-9 · Cited by 5

Artificial Intelligence Chatbots Mimic Human Collective Behaviour

He, J., Wallis, F., Gvirtz, A., & Rathje, S. (2024) · doi:10.21203/rs.3.rs-3096289/v2 · Cited by 4

Indigenous Land Use and Fire Resilience of Southwest USA Ponderosa Pine Forests

Roos, C. I., Swetnam, T. W., & Guiterman, C. H. (2023) · Climatic and Ecological Change in the Americas · doi:10.4324/9781003316497-6 · Cited by 4

Genetically encoded biosensor enabled mining, characterisation and engineering of aromatic acid MFS transporters

(2025) · doi:10.1186/s13036-025-00568-y · Cited by 4

Human occupation and the environment during the holocene in the river cauca valley, colombia: the evidence from paleobotany and from soil studies

Duncan, N., Cardale Schrimpjf, M., Groot, A. M., Botero, P., Betancourt, A., & Berrio, J. C. (2013) · Diálogo andino · doi:10.4067/s0719-26812013000100010 · Cited by 3

Data-driven enhanced sampling of mechanistic pathways

Elangovan, R., Chatterjee, S., & Ray, D. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2517169122 · Cited by 3

Robust point and variance estimation for ecological and evolutionary meta-analyses with selective reporting and dependent effect sizes

Yang, Y., Lagisz, M., Williams, C., Pan, J., Noble, D., & Nakagawa, S. (2023) · doi:10.32942/x20g6q · Cited by 2

Generic residue numbering of the GAIN domain of adhesion GPCRs

Seufert, F., Pérez-Hernández, G., Pándy-Szekeres, G., Guixà-González, R., Langenhan, T., Gloriam, D. E., & Hildebrand, P. W. (2024) · doi:10.21203/rs.3.rs-4761600/v1